1.
he Faculty of Psychology, Department of Experimental and Applied
Sciences, Research Group of Biological Psychology of the Vrije
Universiteit Brussel (VUB) seeks a highly motivated candidate for a PhD
position on a project on the impact of different sub-processes in
emotion regulation within the recovery of stressful events on sleep and
neural correlates. The aim of the project is to disentangle emotion
regulation in its sub-processes and assess their respective
effectiveness on the behavioral and on the neurophysiological level.
Profile: The candidate must have a research master in the behavioral
sciences, bio-medical sciences, or affective- and cognitive (neuro-)
science, or related areas. Excellent English communication and writing
skills are required. Methodological and statistical competence and
coding experience such as matlab or python, experience with experimental
research, psychophysiological methods, and/or neuro-imaging techniques
is considered as advantageous. The position requires enrollment in the
PhD-program of the Faculty of Psychology and Educational Sciences.
The research will be done in collaboration with Prof. Daniele Marinazzo,
Prof. Monica Dhar and other experts in the field. Interested candidates
can apply by email, providing a motivation letter, full curriculum
vitae, including all university study results, and the names and contact
information of at least two references. The deadline for application is
August 25, 2015.
Interested? For additional information you can contact: Prof. Marie
Vandekerckhove: Marie.Vandekerckhove(a)vub.ac.be
===============
2.
Post-Doc position in multisensory neuroimaging (MEG/EEG) studies at the
Centre for Cognitive Neuroimaging, Glasgow, UK
The post is advertised in the context of the EU-funded ERC project
"Understanding the neural mechanisms of multisensory perception based on
computational principles".
The integrative neuroscience laboratory is dedicated to understanding
the integration of multisensory information in the brain. The planned
studies use state of the art imaging methodology (MEG, and possibly fMRI
or EEG) combined with quantitative data analysis to better understand
when and how the brain combines different sensory channels to inform
perception. Further details about our research can be found on our
website (http://inl.ccni.gla.ac.uk/). The project is based in a vibrant
research environment and leading neuroimaging facility
(http://www.ccni.gla.ac.uk/).
The job requires all aspects of study design, implementation, data
collection, data analysis as well as assisting in the supervision of
junior lab members, presenting at conferences and participating in the
writing up of the results.
Applicants should have (or expect to receive in the near future) a PhD
in neuroscience, cognitive science, psychology, mathematics, computer
science or another relevant discipline. We are especially interested in
devotion to advanced quantitative data analysis including the
capabilities to program or modify analysis code and the ideal applicant
will have a strong analytical background and direct experience using
MATLAB software. Experience with neuroimaging would be an advantage. Any
applicant should have enthusiasm, and a clear, demonstrable capacity for
acquiring expertise in these techniques.
This position is funded for up to 4 years from November 2015, at UK RA
Salary Grade 7 (£33,242 – £37,394 per annum).
Please apply online at www.glasgow.ac.uk/jobs, reference Nr 011135
Closing date: 13th September 2015
Questions may be directed to the PI: Christoph.Kayser(a)glasgow.ac.uk.
===========================
3.
Post-doctoral position, Cincinnati, Ohio USA
We invite applications for a post-doctoral research position in
Neurology at Cincinnati Children’s Hospital Medical Center (CCHMC). The
successful applicant will contribute to ongoing MEG studies of pediatric
language and epilepsy. This is a two-year position focused in one or
more of the following areas:
· Methods for multimodal neuroimaging, with a focus on
integration of fMRI and MEG data
· Source-space connectivity techniques, designed to overcome
challenges related to leakage, impact of inverse solution, etc.
· Validation of integrated imaging and analysis protocols for
mapping language in children undergoing epilepsy surgery (MEG, fMRI,
EEG, ECoG, stimulation mapping, pathology, and outcome data available)
The post-doctoral fellow will regularly interact with clinical and
research faculty, other post-docs, graduate students, and research staff
in the Divisions of Neurology and Radiology, the Pediatric Neuroimaging
Research Consortium (PNRC) and the Imaging Research Center (IRC).
He/she is expected to contribute to our regular research discussions,
and to present at research meetings within CCHMC and at major
conferences (e.g., BIOMAG, OHBM).
The successful candidate will have completed their PhD in biomedical or
electrical engineering, physics, computer science, psychology,
neuroscience, or a related discipline. He/she will have experience in
collection and analysis of electrophysiological data, expertise in
signal processing, with strong programming skills (MATLAB or a similar
computing environment). The ideal candidate would also have prior
experience in neuroimaging and a solid background in neuroanatomy, and
familiarity with M/EEG analysis software (e.g., Brainstorm, Brainwave,
BESA, FieldTrip/SPM, MNE). All qualified recent graduates, or those
nearing completion of their PhD, are encouraged to apply.
CCHMC is an Equal Opportunity Employer. All qualified applicants will
receive consideration for employment without regard to race, color,
religion, sex, national origin, age, genetic information, physical or
mental disability, military or veteran status, sexual orientation, or
other protected status in accordance with applicable federal, state, and
local laws and regulations.
Applicants should submit a cover letter and current CV (including a list
of scholarly publications), along with the names and contact information
for three referees to:
Darren S. Kadis, PhD
Assistant Professor, Division of Neurology
Pediatric Neuroimaging Research Consortium
Cincinnati Children's Hospital Medical Center
c/o Kimra Smith
Kimra.Smith(a)cchmc.org
Review of applications will begin immediately. We anticipate a start
date in the fall, 2015.
=============================
4.
The Neuroimaging Research Core at the Marcus Autism Center in the
Department of Pediatrics at Emory University, in collaboration with the
Biomedical Imaging Technology Center in the Department of Biomedical
Engineering at Emory University/Georgia Tech, is offering a full time
position as Postdoctoral Research Fellow /Research Associate.
The Neuroimaging Research Core at Marcus is currently conducting two
large-scale MRI studies: The first longitudinal study is to understand
the typical brain development in infants from 0 to 6 months as well as
the impact of autism spectrum disorders (ASD) to the early brain
development. The second one involves the study of brain development in
school-aged children, with the focus on the developmental unfolding of
ASD and its relationship with the subjective perception of stimulus
salience.
The Biomedical Imaging Technology Center is a research center of the
Wallace H. Coulter Department of Biomedical Engineering, a joint
department of Georgia Tech and Emory University specializing in the
technical development of MRI. The Marcus Autism Center is a
not-for-profit organization dedicated to the diagnosis and treatment of
children with Autism Spectrum Disorders (ASD). It is the country’s
largest center for clinical care of children and adolescents with ASD,
with more than 5,000 unique children and their families served each
year. The Center is also one of the national hubs of science in the
field of developmental disabilities, designated by NIH as an Autism
Center of Excellence.
Applicants should have a Ph.D. degree in Biomedical Engineering, MR
physics, Computer Sciences, Neuroscience, Psychology or related fields,
as well as research experience in MRI image analyses. Prior experience
with diffusion MRI is especially preferred. Experience with MRI analysis
software packages (i.e., FSL, AFNI for diffusion and functional MRI data
analyses) and computer programming skills (MATLAB, C/C++ & Bash scripts)
are required.
The applicant will be expected to i) develop computational and
statistics methods to analyze neuroimaging data (especially structural
and diffusion MRI data) from infants and school-aged children; ii)
design and implement novel dedicated equipment for optimizing data
collection from infants and children; iii) participate in acquiring
neuroimaging data; iv) prepare manuscripts and extramural grants, and
(v) collaborate with MRI physicists, social neuroscientists, engineers,
and clinicians. The position-holder will be co-mentored by and closely
collaborate with Drs. Longchuan Li (Marcus Autism Center & Biomedical
Imaging Technology Center), Xiaoping Hu (Director of Biomedical Imaging
Technology Center), Sarah Shultz (Co-Director of Neuroimaging Core at
Marcus Autism Center) and Warren Jones (Director of Social Neuroscience
Lab at Marcus Autism Center).
The position is available immediately and the initial appointment is for
one year. Renewal is expected if progress is satisfactory. Emory
University School of Medicine offers competitive benefits and salary
package and has been ranked high as one of the “Best Places to Work for
Postdocs”. Interested candidates should email to Dr. Longchuan Li
(lli36(a)emory.edu), with a cover letter and CV. Qualified candidates will
be asked to have 3 letters of reference forwarded to Dr. Li.
======================
5.
A postdoctoral position is available with Dr. Katherine Karlsgodt in the
Cognitive and Clinical Neuroscience Group, part of the Zucker Hillside
Hospital and NorthShore-LIJ Psychiatry Research Division and the
Feinstein Institute for Medical Research. The focus of the group is on
developmental psychopathology, in particular, in the development of
functional and structural connectivity in adolescents with psychotic and
mood disorders. We are particularly interested in researchers who have a
strong interest in and history of research in neurodevelopment and/or
psychosis. The ideal candidate will have demonstrated skills in
neuroimaging, particularly diffusion tensor imaging (DTI), task based
functional MRI (fMRI), and resting state fMRI.
The start date is flexible, from August-September 2015 onwards. The
Zucker Hillside Hospital is located in Queens, New York and has a long
history of research in schizophrenia and related disorders. For more
details, interested applicants should email a CV and a brief description
of research interests and experience to Katherine Karlsgodt, at
kkarlsgodt(a)nshs.edu.
==========================
6.
Postdoctoral Fellowship at Duke-National University of Singapore
Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center
for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National
University of Singapore is looking for postdoctoral fellow in cognitive
neuroscience and/or multimodal neuroimaging.
Our group studies the human neural bases of social-emotion, cognition,
and memory functions and the associated vulnerability patterns in
neuropsychiatric disorders, including neurodegenerative diseases
(focusing on AD, FTD and preclinical stages) and Schizophrenia.
Multimodal neuroimaging and psychophysical techniques are employed,
including magnetic resonance imaging (MRI), functional MRI, diffusion
tensor imaging, and electroencephalography (EEG). We are interested in
developing computational methods to examine the network-level structural
and functional brain connectivity to shed light on the neurobiological
mechanism of disease, paving the way for early detection and intervention.
Candidates must have a passionate enthusiasm for research, a strong
background in one of the following fields: computational neuroscience,
cognitive neuroscience, neuropsychiatric disorders, neuroimaging
analyses, mathematics/statistics/machine learning or related-fields.
He/she should also possess the ability to take the initiative, work
independently and be motivated to work in a highly collaborative and
international research environment, and be able to demonstrate
creativity, technical independence and excellent communication skills.
Strong interest in studying dynamic functional connectivity and its
relationships with cognition and disease would be a plus. Proven skills
in fMRI/EEG/DTI data analyses is a plus but not necessary.
Key attractions are access to a 3T Prisma MR scanner and a MR compatible
digital EEG system as well as collaboration opportunities with an
excellent network of domestic and international scientists and doctors.
The position will be two years with possible extension. Competitive
package will be provided based on experience.
Interested applicants are welcome to email Assistant Prof. Helen Juan
Zhou at helen.zhou(a)duke-nus.edu.sg with application letter, curriculum
vitae, three references, and contact information. Website:
https://sites.google.com/site/mneuroimaginglab/;
http://www.duke-nus.edu.sg/content/zhou-juan-helen
========================
--
1.
Dear All,
Just to let you know that there is a six month postdoctoral position
available in my lab. I would be grateful if you could please pass this
on to anyone you feel might be interested.
http://www.jobs.ac.uk/job/ALU468/postdoctoral-research-scientist/
Many thanks,
Narender
Narender Ramnani
Professor of Neuroscience
Brain, Action and Cognition Laboratory
Department of Psychology
Royal Holloway University of London
Egham, Surrey TW20 0EX
Tel: 01784 443519 (Direct)
www.pc.rhul.ac.uk/sites/neurosciencelab
<http://www.pc.rhul.ac.uk/sites/neurosciencelab>
===========================
2.
Postdoctoral Research Fellow
Queensland Brain Institute, University of Queensland, Brisbane, Australia
Applications are invited for a position as Postdoctoral Research Fellow at the Queensland Brain Institute (www.qbi.uq.edu.au) and Science of Learning Research Centre (www.slrc.org.au), Brisbane Australia.
Research will involve modelling of connectivity using graph theoretical analysis, applied to physiological data recorded from students in school classrooms. This is a large and unique collaboration between neuroscience and education, bringing brain connectivity modelling methods to examine inter-person connectivity in school classrooms.
Applicants must have a PhD in cognitive or computational neuroscience or a related area and strong research experience in connectivity data modelling. This position would suit someone with experience in brain connectivity analysis looking to further develop techniques to apply in novel ways.
See more details at:
http://jobs.uq.edu.au/caw/en/job/497744/postdoctoral-research-fellow
CLOSING DATE FOR APPLICATIONS: 28 AUGUST
-+-
A/Prof Ross Cunnington, Principal Research Fellow
School of Psychology & Queensland Brain Institute
University of Queensland, Brisbane, Australia
Phone: +61 7 3346 6330
===============================================
3.
A postdoctoral position in our group has unexpectedly become vacant. We are looking for a postdoctoral fellow with experience in neuroimaging for our longitudinal study on ALS and FTD patients. This position is in Bethesda Maryland, outside Washington DC. Please see our ad on the NIH website for details of the postion:https://www.training.nih.gov/postdoc_jobs_nih/view/_31/2937/Neuroim…
If interested send your cv tofloeterm(a)ninds.nih.gov
Mary Kay Floeter MD PhD
==============================================
4.
We’re
seeking to fill two positions at Stanford University's Department of
Psychiatry and Behavioral Sciences that will primarily support an
NIMH-funded project studying neurodevelopmental features of sex
differences in psychopathology. Kindly respond to the ads below:
FULL-TIME POSTDOCTORAL FELLOW: We are seeking a full-time postdoctoral
researcher experienced in the analysis of genetic, structural, or
functional magnetic resonance imaging data to work on a 1-year
NIH-funded data analysis project examining sex differences in the
development of psychopathology in children, adolescents, and young
adults. Activities will include cognitive, genetic, and neuroimaging
data processing, cleaning and quality control, and collaborative data
analysis. Applicants should have a Ph.D. in statistics, computer
science, psychology, cognitive neuroscience, or a related field. The
postdoctoral fellow will engage in analyzing and integrating multimodal
clinical, cognitive, genetic, and neuroimaging data of almost 10,000
children, adolescents, and young adults. This fellow will also work
collaboratively with a neuroimaging research assistant and supervise
graduate students in the School of Medicine and the Department of
Statistics who will assist in processing and analysis of the data.
Finally, the postdoctoral fellow will assist with the preparation of
manuscripts, progress reports, and future grant submissions related to
this project. Work will be carried out with a team of interdisciplinary
investigators at Stanford University, led by PI Manpreet Singh, M.D.
(Child and Adolescent Psychiatry), and under the direct supervision of
Lester Mackey, Ph.D. (Statistics), Joachim Hallmayer, M.D. (Psychiatric
Genetics), and Ian Gotlib, Ph.D. (Psychology). The Stanford Department
of Psychiatry seeks to recruit and retain a diverse workforce as a
reflection of our strong commitment to the twin goals of achievement of
excellence and diversity among faculty, trainees, and staff. We are thus
interested in candidates who are committed to the highest standards of
scholarship and professional activities, and to the development of a
climate that supports equality and diversity. Please send a cover
letter, CV and two letters of recommendation to _mksingh(a)stanford.edu
<mailto:mksingh@stanford.edu>_. Position available immediately.
FULL-TIME DATA ANALYST IN NEUROIMAGING - Seeking a bright and motivated
applicant to perform structural and functional neuroimaging analyses
in a large dataset of children, adolescents, and young adults. The
applicant will perform database management including data entry and
cleaning, data preprocessing and analyses, and assist with preparing and
presenting results for publication and future grant
submissions. Current techniques include high-resolution structural
imaging, functional MRI, and diffusion tensor imaging. Preference will
be given to an individual with experience preprocessing and analyzing
structural neuroimaging data using a variety of statistical packages,
including SPM, FSL, and/or FreeSurfer. The position represents an
excellent opportunity to further develop research skills and learn basic
principles of clinical and cognitive neuroscience and to gain exposure
to patient and normative pediatric populations over a wide developmental
range. The successful applicant will be an energetic, self-directed
learner with a keen interest in the lab's research. Knowledge of
programming, scripting, and statistics is a plus. Applicants must be
able to commit to at least one year for consideration. If interested,
please send a statement of scientific interests, resume of
accomplishments and relevant skills, a CV, and contact information for
at least 3 academic references to Dr. Manpreet Singh, at
mksingh(a)stanford.edu <mailto:mksingh@stanford.edu>. Position available
immediately.
Manpreet K. Singh, MD MS
Assistant Professor of Psychiatry and Behavioral Sciences
Director, Stanford Pediatric Mood Disorders Program
Akiko Yamazaki and Jerry Yang Faculty Scholar in Pediatric
Translational Medicine
Stanford University, Stanford, CA
Phone: (650) 725-5922
Email: mksingh(a)stanford.edu <mailto:mksingh@stanford.edu>
===========================
6.
We’re seeking to fill two positions at the Olin Neuropsychiatry Research
Center that will primarily support an NIMH-funded R01 project studying
network connectivity related to emotion regulation. Please see ads below:
*Clinical Data Analyst***
The Olin Neuropsychiatry Research Center (www.nrc-iol.org) at the
Institute of Living has a position available in brain imaging data
analysis.
The successful applicant will join a major lab conducting brain
structure and function research in both healthy and psychiatric
populations. The focus of the work will be on a project using functional
MRI to study brain network connectivity related to emotional processing.
However, there also are numerous and varied ongoing and
recently-completed projects funded by NIMH, NIDA and NICHD. Candidates
must have Master’s degree or beyond in relevant specialty (e.g.,
Biomedical Engineering, Computing, Psychology, Neuroscience, or related
field), understanding of fMRI statistical methods and experimental
design, and promising research experience. The candidate should come
from a training program that has provided demonstrable brain imaging
data analysis skills (ideally fMRI) and solid working knowledge of
Linux, Matlab and similar systems; (Java, C++ programming experience
also useful). Experience with fMRI task programming languages (ePrime,
Presentation) also a plus. Pay will be commensurate with experience.
In addition to opportunities to working on grant-funded research topics
compatible with the lab mission, the Clinical Data Analyst will have
access to several large archival neuroimaging datasets, additional
training in sophisticated data analysis techniques (i.e., independent
component analysis, multi-modal data “fusion” analysis, etc.) and access
to the Center’s data collection and analysis resources (e.g., fMRI,
sMRI, DTI, EEG, GWAS, neuropsychological assessment). At our center,
candidates are encouraged to publish research data in peer reviewed
journals and present at national research meetings, at whatever level is
commensurate with their skills.
The position is open for an initial 3 years, with an option to renew.
The Olin Neuropsychiatry Research Center is an established clinical
neuroscience center affiliated with Yale University comprising over 60
faculty, postdocs and research assistants. Our mission is to conduct
cutting-edge clinical and cognitive neuroscience research that
ultimately can translate to psychiatric care. The Olin Neuropsychiatry
Research Center is located on the grounds of The Institute of Living /
Hartford Hospital in Hartford, CT, providing access to thousands of
psychiatric patients each year treated in numerous clinical programs.
This is an exciting opportunity for a clinical or cognitive neuroscience
master’s degree-qualified researcher looking to establish him/herself in
the field through productivity, training in advanced analysis
techniques, and access to ample scientific resources. If interested,
please send a statement of scientific interests, resume of
accomplishments and relevant skills, a CV, and contact information for
at least 3 academic references to Michael.Stevens(a)hhchealth.org.
*Postdoctoral Researcher*
The Clinical Neuroscience & Development Laboratory at the Olin
Neuropsychiatry Research Center (www.nrc-iol.org/onrc_labs_cnd.asp
<http://www.nrc-iol.org/onrc_labs_cnd.asp>) is seeking to fill 1
postdoctoral research position to work on a new NIMH-funded project that
will use functional magnetic resonance imaging (fMRI) to examine the
architecture of neural networks engaged for emotion regulation in
typically-developing and depressed adolescents. The postdocs will join
a lab whose focus is to study developmental changes in brain
structure/function across early adolescence to young adulthood and
examine neural network function abnormalities in various early-life
psychiatric disorders, including depression, AD/HD, and others.
This is a good opportunity for an applicant who has experience in either
clinical psychology or computational neuroscience, who has particular
interests in developing a career using functional neuroimaging
research. Specific postdoctoral duties would vary depending on skills
and career development interests, ranging from gaining in depth
experience with either the clinical aspects of the project (patient
interviewing, clinical data collection, protocol management, and
supervision of trained clinical research staff), fMRI data analysis
skills (SPM, FSL and functional connectivity analyses of fMRI and
structural brain datasets), or both. Applicants should have a Ph.D. in
Psychology, Neuroscience, or closely related field, solid understanding
of statistical methods and experimental design, and promising clinical
research experience. The ideal candidate will come from a doctoral
program that has provided a strong theoretical foundation in affective
and/or cognitive neuroscience, familiarity or proficiency with fMRI
methods, and competitive skills in either the clinical or analytic domains.
While data is being collected on this new project, the postdoc also will
have access to several large, un-examined archival neuroimaging datasets
with an expectation to work on studies consistent with those projects’
objectives. Training will be provided in sophisticated data analysis
techniques (i.e., independent component analysis, multi-modal analysis,
etc.), and access to the Olin Center’s extensive data collection and
analysis resources (e.g., fMRI, sMRI, DTI, EEG, genotyping,
neuropsychological assessment).
The Olin NRC is a well-established clinical neuroscience center
affiliated with Yale University with over 50 faculty, postdocs and
research assistants. Our mission is to conduct cutting-edge clinical
and cognitive neuroscience research into the causes and treatment of
psychiatric disorders. The Olin Center is located on the grounds of The
Institute of Living / Hartford Hospital, providing access to thousands
of psychiatric patients each year treated in numerous clinical
programs. If interested, please send a statement of scientific
interests, accomplishments and relevant skills, a CV, and contact
information for at least 3 academic references including letters of
recommendation if already available to Dr. Michael C. Stevens
(Michael.Stevens(a)hhchealth.org <mailto:Michael.Stevens@hhchealth.org>),
CNDLAB Director, Olin NRC, 200 Retreat Avenue, Hartford, CT 06106.
======================================
7.
The Center for Mind & Brain and the Department of Psychology at the
University of California, Davis, invite applications for a tenure-track
position in Mind & Brain Sciences. The appointment will be at the
Assistant Professor level. Applications are sought from scholars who
have strong and innovative research portfolios that focus on both the
human mind and the human brain and that would complement the existing
research at the Center for Mind & Brain (http://mindbrain.ucdavis.edu).
This could involve any state-of-the-art methodological approach
(including but not limited to imaging, electrophysiology, stimulation,
modeling, genetics, neuropsychology, and behavior/psychophysics) and any
content area that integrates mind and brain and is synergistic with
existing research at the Center for Mind & Brain.
Applicants must have a Ph.D. in psychology, neuroscience, statistics,
biomedical engineering, or related field, or an M.D. with specialization
in neurology, psychiatry, radiology, or a related field (must be
completed by the first day of classes, September 21, 2015); a strong
commitment to high quality teaching in the areas of perception,
cognition, and/or cognitive neuroscience; and the potential to attract,
or an established record of attracting, substantial extramural funding.
The successful applicant will hold an academic appointment in the
Department of Psychology (in the Perception, Cognition, and Cognitive
Neuroscience area) and will contribute to the graduate and undergraduate
teaching programs of this department/area (and will likely participate
in the university-wide Neuroscience Graduate Program). The individual’s
laboratory will be located at the Center for Mind and Brain, an
interdisciplinary research center with 19 core faculty and a dedicated
research staff. The Center offers an impressive array of modern research
equipment, including several high-density EEG/ERP recording labs and a
transcranial magnetic stimulation laboratory. Center faculty also have
access to three research-dedicated MRI scanners at the Imaging Research
Center (http://ucdirc.ucdavis.edu), including a new 3T Siemens Skyra
system and a BrainAmp MR system for simultaneous EEG/MRI. The cognitive
neuroscience community is extremely well integrated across campus, with
exceptionally collegial interactions and collaborations among members of
the Center for Mind & Brain, the Center for Neuroscience, the MIND
Institute, and the Imaging Research Center. We also have close ties
with many academic departments and with the UC-Davis Medical Center.
Applicants should submit a curriculum vitae, statements of research and
teaching interests, representative reprints and/or preprints, and at
least three letters of recommendation electronically at:
https://recruit.ucdavis.edu/apply/JPF00665. Applicants are also
encouraged to submit a statement of contributions to diversity.
The position will remain open until filled. Applications submitted by
October 1st, 2015 will receive full initial consideration.
For information, contact the Search Committee Chair, Dr. Steve Luck,
sjluck(a)ucdavis.edu <mailto:sjluck@ucdavis.edu>.
======================================
8.
*wo Postdoctoral Positions in Human Behavior, Physiology and Neuroimaging*
**
*Laboratory of Behavioral Genetics, Brain Mind Institute, Swiss Federal
Institute of Technology Lausanne (EPFL), Switzerland*
Two postdoctoral positions are immediately available to investigate the
interactions between stress, physiological and neurophysiological
responses, and aggressive behaviors in humans.
*Postdoc 1: A study on Human Social Behaviors involving Virtual Reality
and Physiological Monitoring*
We are searching for an excellent candidate with a Ph.D. in
neuroscience, psychology or other related fields, with a strong track
record on the use of virtual reality and behavioral analyses in humans
(e.g., fear conditioning; computer-based tasks). Experience in the field
of stress-induction or drug administration procedures in humans and/or
imaging approaches would be an advantage, but is not required.
*Postdoc 2: A study on Human Social Behaviors involving EEG and
Physiological Monitoring*
We are searching for an excellent candidate with a Ph.D. in
neuroscience, physics, psychology or other related fields, with a strong
track record on the use of EEG in humans. Experience in neuro-feedback,
fMRI or pharmacological approaches would be an advantage, but is not
required.
************
A strong interest in interdisciplinary work and, particularly, in
linking stress neurobiology with social behaviors –particularly
aggression and social dominance- in humans would also be an additional
asset. English is required and a good knowledge of French would be an
advantage.
Both projects involve the study of different aspects of human social
behaviors and physiological responses linked to aggression. They include
a core collaboration between Prof. Carmen Sandi, Laboratory of
Behavioral Genetics and Prof. Michael Herzog, EPFL, Lausanne.
The research will be conducted at the Laboratory of Behavioral Genetics
(http://lgc.epfl.ch/) at the Brain Mind Institute, EPFL, Lausanne
(http://bmi.epfl.ch/), a center dedicated to exploring the emergence of
higher brain function across multiple levels ranging from gene
expression to cognition and emotional processing.
The positions are immediately available, though starting time can be
negotiated (initial contract for 1 year, extendable for 2-3 additional
years).
Applications will be started to be reviewed from September 1st 2015
until the position gets filled.
Interested candidates should _send by email a SINGLE pdf document
including_: CV, a research statement -indicating scientific interests
and relevant experience- and the names and contact details of 3
reference persons to: Prof. Carmen Sandi (carmen.sandi(a)epfl.ch
<mailto:carmen.sandi@epfl.ch>).
================================
9.
Research Laboratory Specialist Inter position at the University of Michigan, Ann Arbor.
Responsibilities*
Linux system administrator for data storage, processing, and wiki servers. Provide server hardware and operating system support. Manage the backup and recovery of fMRI data and provide infrastructure services for imaging analysis workstations. Develop, implement, and document modular and reusable processing pipelines for fMRI/PET data in SPM, FSL, and AFNI software packages. Create reusable and custom data analysis scripts with MATLAB. Design, code, and implement fMRI paradigms in E-Prime and Psychtoolbox. Review and write or edit manuscripts prior to submission to scientific journals. Evaluate existing software and analysis methods for neuroimaging data.
Required Qualifications*
Proficient in MATLAB and Unix/Linux. Must have excellent oral and written communication skills, as well as analytical and problem solving skills.
Desired Qualifications*
Master’s Degree or equivalent. Familiar with the neuroimaging data arching tool XNAT. Experience with additional imaging techniques (e.g., functional connectively, VBM, DTI, H-MRS) and software platforms (e.g., MedX). Additional programming (i.e., C, C++, C#, Bash, JAVA, Python, .NET) and electrical systems experience. Prior experience in pain research. Advanced statistical training. Working knowledge of Vee Pro and E-Prime software.
For additional information or to submit an application please contact:
Katherine Scott
Department of Anesthesiology
Chronic Pain and Fatigue Research Center
University of Michigan, Ann Arbor, MI
email:jrsj@med.umich.edu
========================================
10.
Open position: Technical employee for an interdisciplinary project in man-machine interaction, Department of Biometry and Medical Informatics , University of Magdeburg, Magdeburg, Germany
The Department of Biometry and Medical Informatics of the Otto-von-Guericke-University Magdeburg is offering
Technical employee
(Salary level 10 TV-L, full-time, limited to 3 years)
for the project EMOADAPT (supported by the Federal Ministry of Education and Research, BMBF)
The goal of the interdisciplinary project EMOADAPT is the further development of a brain computer interface that allows emotions to be recognized by the computer in real time and implemented in the interaction between man and machine. For detection and identification of emotional changes in the human-machine interaction, imaging techniques (functional magnetic resonance imaging), EEG and classic peripheral psychophysiological parameters should be combined. The interaction between humans and machine takes place in virtual reality scenarios, which are to adapt in real time to emotions/dispositions of the user.
Position description:
The main tasks will be to implement and optimize the developed measurement methods and evaluation strategies for real-time detection of activated brain areas during a dynamic interaction within virtual realities. The work will be in close cooperation with an interdisciplinary group.
Your profile:
The candidate should hold a degree (Bachelor / FH-Master / Univ.-master) in informatics, engineering or natural sciences, as well as very good knowledge of programming in C ++. Experiences with MATLAB are advantageous. Opportunities for further qualification (PhD) are offered. The participation in the MRI experiments is desired.
Contact: Prof. J. Bernarding, Email:johannes.bernarding@med.ovgu.de.
Phone: +49-391/6713535
Please send your application with the usual documents (CV, degree certificates, list of publications) until 1/9/2015 to the above email address or to Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Institute for Biometry and Medical Informatics, Leipziger Str. 44, 39120 Magdeburg
website:www.ibmi.ovgu.de/en
www.med.uni-magdeburg.de/Alle+Stellenangebote.html
=======================================
11.
Open position: Post-Doc position for an interdisciplinary project in man-machine interaction, University Clinic for Psychiatry, Psychotherapy and Psychosomatic Medicine of the Childhood and Adolescence, University of Magdeburg, Magdeburg, Germany
The University Clinic for Psychiatry, Psychotherapy and Psychosomatic Medicine of the Childhood and Adolescence of the Otto-von-Guericke University Magdeburg is offering
Post-Doc
(Salary level 13 TV-L, full-time, limited to 3 years)
for the project EMOADAPT (supported by the Federal Ministry of Education and Research, BMBF)
The goal of the interdisciplinary project EMOADAPT is the further development of a brain computer interface that allows emotions to be recognized by the computer in real time and implemented in the interaction between man and machine. For detection and identification of emotional changes in the human-machine interaction, imaging techniques (functional magnetic resonance imaging), EEG and classic peripheral psychophysiological parameters should be combined. The interaction between humans and machine takes place in virtual reality scenarios, which are to adapt in real time to emotions/dispositions of the user.
Position description:
The overall task is to provide the psychological basis for the project, mainly development and evaluation of psychological and psychobiological measures of emotional processes occurring during the dynamic human-machine interaction. Part of the work includes integrating according parameters and personal profiles into virtual reality scenarios mimicking man-machine interactions as well as how emotions may modulate according dynamics interactions. The work will be in close cooperation with an interdisciplinary group (Prof. Dr. Johannes Bernarding, Department of Biometrics and Medical Informatics (OvGU), Prof. Dr. Eva Brinkschulte, Institute for History and Ethic in Medicine; Dr. André Brechmann, Special Lab Non-Invasive Brain Imaging of the Leibniz Institute for Neurobiology).
Your profile:
The candidate should hold a degree (Diploma/Master) and a doctorate in psychology or neuroscience. The candidate should have experience in projects working with emotion processing, and should be familiar with functional imaging and / or psychophysiological research methods. Interest in interdisciplinary collaboration is expected.
Contact: Dr. Kerstin Krauel, Email:kerstin.krauel@med.ovgu.de
Phone: 0391/6717003
Please send your application with the usual documents (CV, degree certificates, list of publications) until 9/1/2015 to the above email address or to Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Klinik für Kinder- und Jugendpsychiatrie, Leipziger Str. 44, 39120 Magdeburg
website:www.ibmi.ovgu.de/en
www.med.uni-magdeburg.de/Alle+Stellenangebote.html
=============================
12.
pen position: PhD or Post-Doc position for an interdisciplinary project in man-machine interaction, Department of Biometry and Medical Informatics , University of Magdeburg, Magdeburg, Germany
The Department of Biometry and Medical Informatics of the Otto-von-Guericke-University Magdeburg is offering
PhD or PostDoc
(Salary level 13 TV-L, full-time, limited to 3 years)
for the project EMOADAPT (supported by the Federal Ministry of Education and Research, BMBF)
The goal of the interdisciplinary project EMOADAPT is the further development of a brain computer interface that allows emotions to be recognized by the computer in real time and implemented in the interaction between man and machine. For detection and identification of emotional changes in the human-machine interaction, imaging techniques (functional magnetic resonance imaging), EEG and classic peripheral psychophysiological parameters should be combined. The interaction between humans and machine takes place in virtual reality scenarios, which are to adapt in real time to emotions/dispositions of the user.
Position description:
The main tasks will be the development and optimization of methods of measurement and evaluation strategies for real-time detection of activated brain areas during a dynamic interaction within virtual realities. The candidate will be part of a team of two scientific employees, one programmer and students. The work will be in close cooperation with an interdisciplinary group (Dr. Kerstin Krauel, Clinic for Child- and Adolescent Psychiatry (OvGU), Prof. Dr. Eva Brinkschulte, Institute for History and Ethic in Medicine; Dr. André Brechmann, Special Lab Non-Invasive Brain Imaging of the Leibniz Institute for Neurobiology). The main focus of research activity is realtime fMRI and combined fMRI / EEG. As a further focus the Realtime Pattern Classification is to be expanded. Possibility for further qualification is offered.
Your profile:
The candidate should hold a PhD in physics, informatics, engineering or neuroscience or aim to complete an according doctorate. Support of the project management is expected.
Contact: Prof. J. Bernarding, Email:johannes.bernarding@med.ovgu.de
Phone: +49-391/6713535
Please send your application with the usual documents (CV, degree certificates, list of publications) until 9/1/2015 to the above email address or to Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Institute for Biometry and Medical Informatics, Leipziger Str. 44, 39120 Magdeburg
website:www.ibmi.ovgu.de/en
www.med.uni-magdeburg.de/Alle+Stellenangebote.html
===================================
13.
Hello everyone,
Following on from the success of last years event, on the 9th of September
we will be hosting the second YNiC science day in the Psychology department
(B020).
During this event there will be a series of short talks by current staff
and students who use YNiC, with the opportunity to meet other people who
neuroimaging and neurostimulation methods. The event is open to everyone,
for more information please contact myself (james.davey
<james.davey(a)york.ac.uk>@ <james.davey(a)york.ac.uk>york.ac.uk
<james.davey(a)york.ac.uk>), and please let me know if you intend to come so
we know how much coffee and cake to provide!
Hope to see you all there,
James D
1.
Positions in Machine Learning & Neuroimaging
We are opening two researcher positions to work on a Wellcome Trust
project focusing on developing and applying machine learning models to
investigate complex relationships between neuroimaging data and
multidimensional descriptions of mental health disorders. This research
will be conducted within the Machine Learning & Neuroimaging Lab based
at the Computer Science Department at University College London.
Research Associate in Machine Learning & Neuroimaging
The Research Associate will be mainly responsible for developing novel
machine learning models to combine data from different neuroimaging
techniques and non-imaging information for diagnosis and prognosis of
mental health disorders (e.g. multiple kernel learning, multiple sources
models). For further details see: http://tinyurl.com/pg37b9q
Research Assistant/Research Associate in Machine Learning & Neuroimaging
The Research Assistant/Associate will be mainly responsible for
developing and integrating novel machine learning models into the
Pattern Recognition for Neuroimaging Toolbox (PRoNTo,
http://www.mlnl.cs.ucl.ac.uk/pronto/). For further details see:
http://tinyurl.com/nz9yslq
Interested candidates should contact Dr Janaina Mourao-Miranda
(j.mourao-miranda(a)ucl.ac.uk).
-------------------------
Dr. Janaina Mourao-Miranda
Wellcome Trust Senior Research Fellow
Centre for Computational Statistics and Machine Learning
University College London
Malet Place, London WC1E 6BT, UK
E-mail: J.Mourao-Miranda(a)cs.ucl.ac.uk
Website: http://www.mlnl.cs.ucl.ac.uk/
========================================================
2.
————————————————————————
Research Study Assistant
To apply for this position please follow the link:
http://www.childrenshospital.org/career-opportunities/JobDetail?jobId=21293…
The Research Study Assistant will be responsible for:
• Preparing the lab for electrophysiological (human) recordings.
• Helping with data collection, data organization, data
pre-processing/analysis, ordering supplies and equipment for the lab,
and maintaining the day-to-day operations of the lab.
• Preparing and organizing documentation for the studies and
laboratory (e.g. brochures, family education sheets, study record sheets
etc.).
• Helping the team members to submit protocols, amendments, notices,
suspensions and terminations to the Institutional Review Board for
review and approval.
To qualify, you must have…
• B.A., B.Sc. or M.A. or M.Sc. degree in a relevant field of study.
• Experience with human electrophysiological data collection.
• Very strong organizational skills, must be self-motivated,
resourceful, able to multi-task and prioritize.
• Very strong written and verbal communication skills.
• Ability to work well in teams, and interpersonal skills (both with
families/participants and the research team members).
• Complete fluency in English is required since there will be
frequent interactions with the family members as well as children during
recording sessions.
• Basic computer experience, including knowledge of Microsoft Office
applications.
Optional Requirements:
• Experience in working in a research environment.
• Experience in working in a research environment.
• Excellent statistical, computer programming (including MATLAB
and/or Python) and EEG/MEG analysis (Brainstorm, SPM, Fieldtrip, or MNE)
skills would be an added advantage.
========================================================
3.
Clinical Research Coordinator
To apply for this position please follow the link:
http://www.childrenshospital.org/career-opportunities/JobDetail?jobId=21293…
The Research Study Coordinator will be responsible for:
• Advertisement of research studies.
• Recruiting (human) participants and assessing their eligibility for
the studies.
• Scheduling participants and greeting them at the hospital.
• Reviewing the consenting process, and maintaining a database and
documentation of all the participants.
• Preparing brochures, website content, and other recruitment
materials for the BabyMEG Lab.
• Helping the team to submit protocols, amendments, notices,
suspensions and terminations to the Institutional Review Board for
review and approval.
To qualify, you must have…
• A Bachelor's degree in a scientific or heath related field.
• 0 - 2 years experience as a clinical research coordinator.
• Native speaker of the American English language.
• Very strong written and verbal communication skills.
• Very strong organizational skills, must be self-motivated,
resourceful, able to multi-task and prioritize.
• Ability to work well in teams, with excellent interpersonal skills.
• Basic computer experience, including knowledge of Microsoft Office
applications.
Optional Requirements:
• Experience in working with young children.
• Experience in working in a research environment.
========================================================
4.
POSTDOCTORAL FELLOW
Human Neuroscience and Visual Cognition & ASTECCA Laboratories,
Department of Psychology, Wright State University
We are seeking a postdoctoral fellow to take a leading role in our
research on the neurocognitive correlates of attentional control and
lapses of attention in semi-structured ecological settings. The goal of
this project is to rigorously characterize the relationship between
laboratory measures of attentional control and failures of attention in
realistic task contexts. We specifically aim to combine cognitive
behavioral studies, ERP experiments, and computational modeling to test
the extent to which laboratory measures can predict individual
differences in susceptibility to attentional failures. We will
investigate how these combined measures can be used to identify which
individuals are most likely to benefit from a cognitive training
paradigm aimed at enhancing attentional control. The postdoctoral fellow
will be responsible for designing the studies, programming the
experimental paradigms, recruiting participants, and collecting the
data. In addition, the fellow will be responsible for data analysis and
reporting the research findings in peer-reviewed journals.
The position is fully funded for three years. The successful candidate
will hold a PhD in Cognitive Neuroscience, Cognitive Psychology,
Computer Science, or any other related discipline by the start date of
the position. Experience in computer programming, especially with
Matlab, and familiarity with fMRI or EEG research are required.
Experience in computational cognitive modeling will be considered a
strong advantage.
The Department of Psychology is housed in the College of Science and
Mathematics, offers a Ph.D. in Human Factors and Industrial/
Organizational Psychology, and has 3 undergraduate concentration areas:
(1) Cognition and Perception, (2) Industrial/ Organizational, and (3)
Behavioral Neuroscience. Wright State University was recently ranked
among the “Best in the Midwest” universities by The Princeton Review,
listed among 260 Best National Universities in the annual “America’s
Best Colleges” rankings by U.S. News and World Report, and ranked fourth
nationally among universities with limited numbers of doctoral programs
in the Faculty Scholarly Productivity Index. Wright State University is
an Equal Opportunity/Affirmative Action Employer.
For more information on this position contact Assaf Harel, Ph.D. at
assaf.harel(a)wright.edu or Ion Juvina, Ph.D. at ion.juvina(a)wright.edu.
Applicants should visit the following link to upload CV and statement of
research: <http://jobs.wright.edu/postings/9380>. In addition, please
have three letters of reference sent directly to Ion Juvina, Ph.D.,
Assistant Professor, Department of Psychology, 313G Fawcett Hall, 3640
Colonel Glenn Hwy, Wright State University, Dayton, OH 45435.
Review of complete applications will begin August 8, 2015, and continue
until the position is filled. All new hires must go through a criminal
background check before they can be hired.
========================================================
5.
Open position: Neuroimaging Post-doctoral fellow, Dementia Imaging
Genetics Lab, University of California, San Francisco
Job Summary
The fellow will conduct human neuroimaging research on participants with
preclinical and symptomatic genetic neurodegenerative disease. Current
imaging techniques include voxel-based morphometry and functional MRI,
with an emphasis on intrinsic functional connectivity network mapping
(also referred to as "resting-state" or "task-free fMRI"). The ideal
candidate will have an interest in genetics, frontal systems,
neuroanatomy, fMRI methods/biomarker development, or a combination. The
fellow will contribute to ongoing experiments and pursue self-directed
projects within the lab's area of investigation.
Required Qualifications
Appropriate areas of doctoral training include but are not limited to
neuroscience, bioengineering, applied mathematics, or computer science.
Strong computational skills, including script writing or programming are
required.
Please direct inquiries to Dr. Lee by sending a cover letter, CV, and at
least 3 references to suzee.lee(a)ucsf.edu.
website: http://www.suzeelee.ucsf.edu/open-positions/
========================================================
6.
The Pediatric Mood and Anxiety Disorders Program (P-MAP) and the
Translational and Molecular Imaging Institute (TMII) at the Icahn School
of Medicine at Mount Sinai (ISMMS) are seeking a highly motivated
post-doctoral scholar in neuroimaging. The focus of this position will
be on analyzing fMRI and/or MRS data.
Candidates should have (or nearing completion of) a PhD in neuroscience,
psychology, cognitive science, radiology, engineering, or a related
field, and should have a strong background in quantitative analysis.
Proficiencies with at least one neuroimaging analysis software (e.g.
FSL, AFNI, SPM, Freesurfer, Caret, Connectome workbench, etc.) and
Unix/Linux environment are expected. Familiarity with Matlab, Python, or
R programming language is a plus.
The postdoctoral scholar will be mentored jointly by Dr. Vilma Gabbay
and Dr. Junqian (Gordon) Xu, with the expectation for him/her to advance
both clinical and methodological knowledge through this postdoctoral
training. The P-MAP under the direction of Vilma Gabbay, MD, is a unique
program in the greater New York metropolitan area dedicated exclusively
to the study and treatment of adolescent mood and anxiety disorders,
utilizing innovative neuroimaging and immunological methodologies. The
neuroimaging program led by Junqian (Gordon) Xu, PhD, has extensive
knowledge about the Human Connectome Project (HCP) data acquisition and
analysis, and is dedicated to advancing magnetic resonance imaging and
spectroscopy techniques.
TMII is equipped with cutting-edge Siemens MRI scanners dedicated to
research: 3T Skyra (32ch and 16ch head coils) and whole-body actively
shielded 7T (32ch Nova head coil). One campus wide supercomputer and one
TMII wide center cluster are fully accessible for data analysis and
algorithm development.
The postdoctoral fellow's primary responsibility is to analyze
neuroimaging data from funded research projects. In addition, the
mentors are fully committed to fostering the trainee's research
independence through first-author manuscript writing and assisting in
the PIs' grant applications. The candidate is highly encouraged to
pursue his/her own research project through NIH F32 or foundation
fellowship applications by the end of the first year.
The initial employment is for two-years, with possible extension. Salary
will be commensurate with experience and the cost of living in the New
York City. Subsidized housing close to Mount Sinai campus (upper east
side, Manhattan) is available.
Please send CV (with 3 references) and statement of interest to Kailyn
Bradley, PhD: (kailyn.bradley(a)mssm.edu). Candidates with an early start
date (e.g., September 2015) will be given priority.
========================================================
7.
Icahn School of Medicine at Mount Sinai Hospital
Postdoctoral Fellowship
The Pediatric Mood and Anxiety Disorders Program (P-MAP) under the
direction of Vilma Gabbay, M.D., M.S., is a unique program in the
greater New York metropolitan area dedicated exclusively to the study
and treatment of adolescent mood and anxiety disorders
(http://www.mountsinai.org/patient-care/service-areas/psychiatry/areas-of-ca…).
We are currently seeking a highly motivated Postdoctoral Fellow. She/he
will primarily assist in managing our research projects which utilize
innovative neuroimaging and immunological methodologies. Additionally,
she/he will analyze neuroimaging data, write manuscripts, and assist the
PI in grant applications. We are looking for a fellow with experience
analyzing fMRI data or H MRS data.
Candidates must have (or nearing completion of) a PhD in neuroscience,
psychology, cognitive science, radiology, or related field. Experience
analyzing functional magnetic resonance data or H MRS data is required.
We prefer candidates with strong programming and scripting skills (unix,
python, matlab, etc.).
This position takes direction from the PI, Vilma Gabbay. If interested,
please email a CV and statement of interest to Kailyn Bradley, PhD:
kailyn.bradley(a)mssm.edu.
--
Kailyn Bradley, Ph.D.
Postdoctoral Fellow
Pediatric Mood and Anxiety Disorders Program
Department of Psychiatry
Icahn School of Medicine at Mount Sinai
1240 Park Avenue, New York, NY 10029
Tel: (212)659-1665
========================================================
8.
The research group for cognitive neuroscience at the university of
Tromsø is looking for an enthusiastic researcher at the post-doctoral
level who would like to build and advance her or his career in the
cognitive neurosciences. Our lab is based at the Institute of Psychology
at the University of Tromsø in the beautiful city of Tromsø, Norway.
The post-doc will work in the project “Optimizing transcranial direct
current stimulation for treatment of chronic pain and depression” (HN
PFP1237-15) which has the ambitious goal to develop and evaluate
individually optimized stimulation techniques with a focus on their
application in chronic pain and depression. Because the project
encompasses both experimental, clinical and computational aspects,
candidates from a wide variety of different backgrounds can be relevant
for the position. This includes, but is not limited to, experimental
psychologists, clinical psychologists experienced in clinical trials,
(computational) physicists, computer scientists or neuroscientists.
We encourage interested researchers to contact Matthias Mittner for
further information about the project.
The prospective candidate must hold a PhD or equivalent in psychology,
informatics, physics or other areas relevant to the research project.
Experience with non-invasive brain stimulation techniques will count in
favour of the candidate as will experience with programming in any
language and/or neuroimaging techniques.
The research project is led by principal investigator Dr. Matthias
Mittner and is embedded in the research group of cognitive neuroscience
at the institute of psychology. We collaborate extensively with Dr.
Alexander Opitz (Nathan Kline Institute, New York) and Dr. Axel
Thielscher (Danish Research Centre for Magnetic Resonance) on the
development of the computational methods required for optimizing the
stimulation techniques.
A prolonged visit to one of our collaborating research groups is
intended as part of the post-doc project.
Research group's Website: http://uit.no/research/cognitive-neuroscience
Official announcement and application:
http://www.jobbnorge.no/ledige-stillinger/stilling/116096
Regards,
Matthias
--------------------------------
Dr. Matthias Mittner
matthias.mittner(a)uit.no
http://uit.no/research/cognitive-neuroscience
Institute for Psychology
University of Tromsø
Huginbakken 32, 9037 Tromsø, Norway
========================================================
1.
Postdoctoral Fellowship Positions in the Dept. of Neurology, Baylor
College of Medicine
Two post-doctoral fellowship positions are available in the
Investigational Targeted Brain Neurotherapeutics Laboratory of Dorina
Papageorgiou, Ph.D., MHSc at Baylor College of Medicine, Dept. of
Neurology to study cortical plasticity and reorganization after stroke,
traumatic brain injury and in cancer patient populations using real-time
functional MRI neurofeedback methods.
Our goal is to elucidate the mechanisms involved in cortical blindness,
motor impairment as a result of lower cranial nerve injury, and chronic
pain using highly quantitative methods, such as population receptive
field, multivariate and univariate analyses. Equally important, our
studies focus on a variety of innovative approaches, including
neurofeedback in targeted and individualized regions of interest based
on the patient's location and spatial extent of the lesion, optimization
of rt-fMRI nFb methods with the long-term goal of central and peripheral
nervous system injury neuro-rehabilitation.
The work promises to be challenging, but also presents a highly exciting
opportunity to gain an understanding of innovative neurofeedback methods
applied in various patient populations depending on the domain of brain
function lesioned, such as in visual, motor, and pain-matrix networks.
Trainees will benefit from the Core for Advanced MR Imaging Core
Facility at Baylor College of Medicine, which includes a state-of-the
art imaging facility with three research-dedicated Siemens 3T MAGNETOM
Trios.
Expertise: PhD with a background in any of the following disciplines:
Neuroscience, Biomedical Engineering, Engineering, Bioinformatics,
Computer Science, or (Bio-)Physics or Experimental Psychology with an
emphasis on programming expertise in C/C++, Matlab, Python, and in Unix
environment.
Strong interest and highly motivated to pursue work in the following areas:
fMRI and real-time fMRI neurofeedback methods
multivariate and univariate pattern analysis
functional/effective connectivity
diffusion tensor imaging
electroencephalography
The applicant MUST have the passion and motivation to pursue innovative
scientific research with a flexible work schedule.
Apply: Please send a pdf or word CV to Dr. Dorina Papageorgiou at
papageor(a)bcm.edu
Compensation commensurate with experience.
Research Assistant/Research Associate/Programmer
1) A Bachelor's or Masters of Science position in any of the
following disciplines - Bioinformatics, Engineering, Biomedical
Engineering, Computer Science, or (Bio-)Physics - is available in the
Investigational Targeted Brain Neurotherapeutics Laboratory of Dorina
Papageorgiou, Ph.D., MHSc at Baylor College of Medicine. We examine
cortical plasticity and reorganization in specific patient populations
as a result of neurological injury and/or disease using real-time
functional MRI neurofeedback, functional connectivity and diffusion
tensor imaging methods with the goal to neuro-rehabilitate cortical
blindness, speech, motor impairment as a result of lower cranial nerve
injury.
2) Scientific programming expertise in C/C++ and G Matlab/Python
programming. Knowledge of Unix environment is a plus.
3) Good English communication skills
4) Excellent organizational, diligent, analytical skills. Ability
to collaborate and work with others.
The main tasks of the software developer will be:
1) Software development of real-time fMRI neurofeedback methods and
application for neuro-rehabilitation of cortical blindness and/or lower
cranial nerve injury.
2) User interface fMRI neurofeedback software development tailored
for specific patient applications
Please send a pdf or word CV to Dr. Dorina Papageorgiou at papageor(a)bcm.edu
Compensation commensurate with experience.
=========================
2.
Please find below descriptions of two available postdoctoral positions
*****************************************************************************
Applications are invited for a postdoctoral position using multivariate,
machine learning methods to study the neural basis of high level vision,
with an emphasis on face recognition and social and affective
perception, at the University of Pittsburgh, USA.
The research will focus on understanding the dynamic neural code that
underlies the recognition of faces, bodies, facial expressions, and
other social and affective stimuli. Of particular interest is how this
information is coded in interactive neural circuits at the level of
large-scale brain networks. The neural data will primarily be local
field potentials/ event related potential from surface electrodes
(electrocorticography, ECoG), cortical depth electrodes, and subcortical
depth electrodes in humans during presurgical procedures for the
treatment of epilepsy. Multivariate classification techniques will be
applied to the millisecond-scale activity recorded simultaneously from
multiple electrodes in areas related to social processing while
participants perform social and affective perception tasks.
Applicants should hold a Ph.D. in Neuroscience, Psychology, Computer
Science, Mathematics, Statistics, Engineering or a related field.
Advanced skills in signal processing, multivariate statistics, machine
learning and/or computational neuroscience are required. Experience with
multivariate analysis of neural data is required and experience with
electrophysiological data is desirable. Applicants should have a strong
track record of publication.
The position is fully funded. The initial period is 1 year with
additional years depending on fit and progress. Interested applicants
should send a letter of interest, a CV, and the names and contact
information for 3 researchers who can provide a recommendation. For
further information or to submit an application, please contact Avniel
Ghuman, Ph.D. at ghumana(a)upmc.edu .
The position is available immediately and applications will be
considered until the position is filled.
*****************************************************************************
Applications are invited for a postdoctoral position to support a
collaboration between researchers at Carnegie Mellon University and the
University of Pittsburgh, USA to develop new methods to combine
multimodal neuroimaging data to understand brain networks.
The research will focus on the development of new tools to combine high
dimensional MEG (magnetoencephalography), fMRI, and structural MRI data
to discover brain network structure. This will include developing
algorithms to understand similarities between data types (neurovascular
relationships, structure-function relationships, etc.) as well as
discovering what unique information each modality provides. These tools
will be developed with the purpose of uncovering how brain networks are
disturbed in existing multimodal data from individuals with autism
spectrum disorder and schizophrenia. Furthermore, these tools will be
developed with aim of applying it to large pubic neuroimaging datasets,
such as those being released as part of the Human Connectome Project.
Applicants should hold a Ph.D. in Neuroscience, Computer Science,
Mathematics, Statistics, Engineering or a related field. Advanced skills
in multivariate statistics, missing data problems, graph theory,
dimensionality reduction, network analysis, machine learning and/or
computational neuroscience are required. Experience with analysis of
human neuroimaging data is desirable. Applicants should have a strong
track record of publication.
The position is fully funded. The initial period is 1 year with
additional years depending on fit and progress. Interested applicants
should send a letter of interest, a CV, and the names and contact
information for 3 researchers who can provide a recommendation. For
further information or to submit an application, please contact Avniel
Ghuman, Ph.D. at ghumana(a)upmc.edu or Aarti Singh at aarti(a)cs.cmu.edu .
The position is available immediately and applications will be
considered until the position is filled.
================================
3.
PhD position in multimodal data analysis in the neurocognitive research
programme “Connectivity and Higher Cognitive Function” at the University
of Salzburg
The international PhD Programme at the University of Salzburg
“Connectivity and Higher Cognitive Function” is seeking for a highly
motivated PhD student to work (full-time, fully funded) in the
programme’s multimodal data analysis project. The aim is to collect a
common brain imaging data-set across all research groups, and analyze it
for various research questions that link brain structural features (e.g.
grey matter density, DTI anatomical connectivity) to variability in
human cognitive abilities.
Situated at the intersection of individual research projects in the
Programme, the open position has a strong focus on acquisition and
analysis and of multi-modal brain imaging data. Desired competencies and
interests of applicants should be one or more of the following:
Programming (e.g. Matlab, Python, R, Brain imaging analysis software)
Statistical analysis of large-scale and complex data sets
Biosignal analysis
MRI / fMRI /EEG data acquisition and analysis (focus on brain connectivity)
The program will start with upcoming winter semester (1st October 2015)
and offers numerous benefits: salary for a period of 3 to 4 years
(including health and social insurance), equipped work space, cover of
research consumables, specific technological training courses (e.g.
fMRI, EEG), presentation, writing and teaching skill training, full
funding of congress participation, workshops and international courses,
including stays in foreign partner laboratories.
Candidates must hold a master’s degree or equivalent in one of these (or
related) fields: Psychology, Medicine, Mathematics or Computer
Sciences/Engineering. The language of the graduate programme (teaching)
is English; hence English proficiency is indispensable. The programme
strives for equal representation of female PhD students so women are
especially encouraged to apply.
Intended start and deadline for applications: as soon as possible (no
later than November 2015)
For detailed information about application, selection, admission
procedure, and about the scientific program and faculty visit:
http://www.uni-salzburg.at/phdim/application
==============================
4.
PostDoc Position in Cognitive Neuroscience with focus on EEG methodology
Salzburg, July 27th, 2015
The Centre for Cognitive Neuroscience Salzburg (CCNS) and the
“Laboratory for Sleep, Cognition and Consciousness Research” at the
University of Salzburg (Austria) are accepting applications for a
postdoctoral research position in Cognitive Neuroscience with a focus on
EEG research.
Salary: €3.500.- (before tax) monthly (14 times p.a.) according to FWF
standard regulations
Beginning of employment: as soon as possible
• Duration of contract: The contract will initially be limited to a
period of 24 months. An extension is intended.
• Weekly hours: 40
• Working hours: according to the terms of the agreement
• Terms of employment: Management of the “method cluster EEG” within the
CCNS as well as research within the project „Consciousness research
across healthy vigilance states and disorders of consciousness “;
Supervision of Master and/or PhD students and teaching of about 1 weekly
hour.
• Required degree: PhD in Psychology or a related discipline (biology,
bioinformatics, cognitive science….)
• Required qualifications: Extensive knowledge and research experience
with EEG, ability and willingness to manage EEG research labs; ability
to publish independently and good command of written and spoken English.
Consequently, a minimum of 10 published and English peer-reviewed
publications (including a minimum of 3 first authorships) is mandatory.
In addition the job will require programming skills (e.g. Matlab,
Presentation, R, Python) in order to implement neurocognitive studies
and analyze EEG data with state-of-the art methods.
• Desired qualifications: Additional knowledge of one other
neuroscientific method (MEG, TMS, fMRI); knowledge and research
experience in sleep research and/or chronobiology and/or consciousness
research; knowledge of time-frequency as well as ERP methodology;
expertise in or willingness to focus on “connectivity measures” in the
EEG (e.g., transfer entropy, coherence).
• Desired personal qualities: High level of interpersonal skills and the
ability to work in a team, readiness of mind, willingness to become
acquainted with new topics and methods; initiative and independence;
conscientiousness and reliability.
About the employer
The “Laboratory for Sleep, Cognition and Consciousness”
(www.sleepscience.at) is member of the newly founded Centre for
Cognitive Neuroscience Salzburg (CCNS) and offers a lively scientific
environment and a vast amount of Cognitive Neuroscience tools (incl.
hdEEG, PSGs, fully research-devoted fMRI, TMS, tDCS, eye-tracking as
well as a brand new MEG system).
Furthermore, the Department is hosting an interdisciplinary doctoral
college (“Imaging The Mind”; www.uni-salzburg.at/phdim) which attracts
outstanding international students conducting neurocognitive studies
across a wide research spectrum.
The open position is partly funded by the Centre for Cognitive
Neuroscience Salzburg (CCNS) as well as a research grant (Y777) on
“Sleep, Cognition and Consciousness” from the Austrian Science
Foundation (FWF).
Applications will be accepted until August 17th, 2015.
Please use Research Gate (www.researchgate.net) to directly submit your
application.
=======================================
5.
We are currently recruiting 4 Phd & 4 Master students for the SCAN LAB.
The SCAN LAB (Social Cognition & Affective Neuroscience) at the
University of Electronic Science and Technology of China (UESTC) in
Chengdu explores the neurobiological basis of human emotion in healthy
subjects and humans with mental disorders. Combining advanced
behavioral, pharmacological and neuroimaging approaches we aim to
improve mental health and develop innovate treatment strategies,
including neurohormones such as Oxytocin, real-time fMRI Neurofeedback,
brain compensation training and non-invasive brain stimulation (rTMS).
The projects will be supervised by Keith Kendrick & Ben Becker – for our
previous research please see:
https://www.researchgate.net/profile/Keith_Kendrick/publicationshttps://www.researchgate.net/profile/Benjamin_Becker3/publications
Lab language is English – for some studies & interaction with patients
Chinese will be an obvious advantage;) A strong experimental
(neuroscience, psychology) or bio-mathematical (biomedical engineering,
software engineering, etc) background is a definite advantage. As well
as previous experience with the techniques (rTMS, including
neuro-navigated rTMS, Psychophysiology, functional MRI, real-time fMRI
neurofeedback, EEG, Psychophysiology) & the tools of trade (SPM, turbo
BV, connectivity tools, matlab, presentation, e-prime).
Planned start of the position will be end of 2015/beginning of 2016.
Please send your CV, publication list & a short letter of motivation as
a single pdf file to:
ben_becker(a)gmx.de (please CC the mail to: zhaoweihua0(a)126.com &
algost.zhao(a)gmail.com)
For organizational questions please contact our lab manager (zhao weihua
/ Zara zhaoweihua0(a)126.com)
Looking forward to your application!
Ben
_________________________________
Benjamin Becker, PhD
Thousand Talent Professor
Key Laboratory for NeuroInformation / School of Life Science and Technology
University of Electronic Science and Technology of China
Center for Information in Medicine
University of Electronic Science and Technology of China
No 2006, Xiyuan Ave
West Hi-Tech Zone
Chengdu, China
========================================
useful, practical, review in Neuron
doi:10.1016/j.neuron.2015.05.025
Gary
--
---------------
Gary Green
Director
York Neuroimaging Centre &
Centre for Hyperpolarisation in Magnetic Resonance
The Biocentre
York Science Park
Innovation Way
Heslington
York
YO10 5NY
tel +44 (0) 1904 435349
fax +44 (0) 1904 435356
mobile +44 (0) 788 191 3004
http://www.ynic.york.ac.ukhttp://www.york.ac.uk/chym/https://www.ynic.york.ac.uk/about-us/people/ggrg
PA : Jackie Mayhew
tel +44 (0) 1904 435329
fax +44 (0) 1904 435356
Jackie Mayhew <jcm529(a)york.ac.uk>
1.
Please see posting for an MEG Clinical Associate position at the
Hospital for Sick Children in Toronto, Canada
We are currently recruiting a MEG Clinical Associate to join our team.
MEG (magnetoencephalography) is the most advanced brain imaging
technique for assessing online brain functions and providing information
on where and when processing occurs in the brain.
As a member of the Diagnostic Imaging department, the MEG Clinical
Associate is responsible for neuroimaging assessments and the
development of new applications with MEG that will be clinically
relevant in broadening the scope of prognostic and diagnostic measures.
Working collaboratively in an inter-professional team, this role will
support clinical paediatric functional brain imaging and MEG
applications in clinical areas.
Here’s What You’ll Get To Do:
Clinical
Stay updated in advanced scientific knowledge of MEG principles,
theories and concepts.
Apply knowledge to both design and interpretation to promote MEG
studies.
Facilitate and aid ongoing clinical applications utilizing MEG.
Facilitate with ongoing functional neuroimaging techniques such as
MRI & TMS.
Design, conduct and analyse own MEG studies, and obtain external
funding for studies within two years of recruitment.
Analyze the complex MEG data that require evaluation of multiple
variables and alternative, novel analytic tools, including source
localization and reconstruction, oscillatory brain activity, functional
connectivity, and techniques for investigation of resting-state and
task-dependent network connectivity and related functional neuroimaging.
Data Management
Maintain high international standards for studies that enhance
applications of MEG.
Maintain high standards for patient care and contribute to the
long-term strategic clinical goals of Department and Hospital.
Remain current on relevant scientific developments and liaises with
clinical staff to keep them abreast of the latest innovations for MEG.
Education and Research:
Teach MEG applications and interpretation in-house and functional
neuroimaging techniques.
Provide supervision and mentoring to students, fellows and MEG lab
personnel.
Publication of techniques and technique development as well as
publications on more focused clinical and psychological applications.
Facilitate new collaborative MEG research within the clinical
community at SickKids, the University of Toronto and the University of
Toronto Hospitals.
Here’s What You’ll Need:
PhD in Neurosciences, Psychology or related field is required.
Advanced technical skills for MEG programming skills for modifying
analysis software, familiarity with computational and statistical
methods for neuroimaging, knowledge of MEG analyses of neural
oscillations, source localization/reconstruction and functional
connectivity in task-depended and resting state networks.
Previous experience with MEG recording and analyses (3-5yrs) is
required.
Experience with clinical population, in particular TBI patients.
Experience in statistical analyses and signal processing.
Psychophysics of cognitive/systems neuroscience is expected, with a
strong interest and competence in the psychological aspects of TBI and
other disorders.
Other functional neuroimaging experience would be an asset.
Excellent analytical and problem recognition skills.
Excellent decision making and communication skills.
Ability to work independently as well as part of a team.
Employment Type: Permanent, Full-Time (Preferred start date mid to late
August 2015)
To Apply:
https://career.sickkids.ca/uniquesig6f48ebcb0541aebf96298f20840453ff78ad6bc…
and please apply to Job ID 4699
===================================
2.
Two PhD positions are available within a novel UCL doctoral program in
Sensory Systems, Technologies and Therapies (SenSyT). Please could
disseminate the attached advert among your colleagues.
The application info is also online here:
http://www.ucl.ac.uk/sensyt/studentships.
Best wishes,
Maria
Maria Chait PhD
m.chait(a)ucl.ac.uk
Reader in Auditory Cognitive Neuroscience
Lab site: http://www.ucl.ac.uk/ear/research/chaitlab/
UCL Ear Institute
332 Gray's Inn Road
London WC1X 8EE
====================
3.
Dear colleagues and friends,
I'm pleased to announce an open position in our growing MEG group:
Postdoctoral researcher in MEG for children with brain cancer
at MedTech West (www.medtechwest.se) and the University of Gothenburg
Institute of Neuroscienceand Physiology (http://neurophys.gu.se/english)
in collaboration with the Sahlgrenska University Hospital, Queen Silvia
Children's Hospital, and Sweden's MEG lab at Karolinska Institutet,
NatMEG (www.natmeg.se).
More information about the position and application procedure can be
found here:
http://www.gu.se/english/about_the_university/announcements-in-the-job-appl…
Please forward this to colleagues, soon-to-graduate PhD students, and
others that might be interested.
Application deadline is 6 AUG.
Thanks!
-Justin
MedTech West
http://www.medtechwest.se
Institute of Neuroscience and Physiology
Sahlgrenska Academy & University of Gothenburg
=========================
4.
Postdoctoral Fellow - Center for the Developing Brain at the Child Mind
Institute, New York
ORGANIZATIONAL SUMMARY
The Child Mind Institute (CMI) is a non-profit organization dedicated to
transforming mental health care for children everywhere. We are
committed to finding more effective treatments for childhood psychiatric
and learning disorders, building the science of healthy brain
development, and empowering families with help, hope and answers.
JOB SUMMARY
CMI is recruiting a postdoctoral fellow interested in the study of human
brain function and the characterization of brain development and
maturation in clinical and non-clinical populations. Overarching goals
of our work include: 1) the delineation of psychiatric illness in terms
of neuroscience, 2) the identification of objective imaging-,
phenotypic- and genetic-based markers of pathology, which will
eventually serve to facilitate the detection of psychiatric illness
and/or guide clinicians in the selection of treatments and determination
of treatment response, 3) exploration of the impact and utility of
emerging intervention techniques (e.g., tDCS/tACS, TMS). Fellows will be
expected to take a multidisciplinary approach to their work, drawing
from a broad range of disciplines (e.g., clinical psychology, cognitive
neuroscience, computer science, engineering, mathematics,
neuropsychology). In order to facilitate this process, they will work as
part of a multidisciplinary team, integrating findings obtained from a
variety of imaging approaches including: resting state functional MRI,
tDCS/tACS, TMS, simultaneous EEG/fMRI, diffusion tensor imaging,
cortical thickness, and volumetrics.
This position reports to Dr. Michael Milham, Director of the Center for
the Developing Brain. This is an exempt, full-time position located in
our NYC headquarters office.
RESPONSIBILITIES
• Work to identify objective markers of pathology in human brain
function, development and maturation using a combination of imaging and
stimulation approaches
• Work in a multidisciplinary environment, drawing from a broad range of
disciplines and imaging approaches
QUALIFICATIONS
• Completed PhD in biomedical engineering, computer science, cognitive
neuroscience, clinical neuroscience, clinical psychology, mathematics,
neuropsychology or related fields
• Significant prior neuroimaging experience with one or more imaging
modalities (fMRI, DTI, MRI, EEG, MEG)
• Strong skills in the usage of one or more common functional
neuroimaging packages (e.g., AFNI, FSL, or SPM)
• Programming experience in one or more languages (e.g., Python, C/C++,
Matlab or similar platforms is required). The candidate must be willing
to develop expertise in Python during the first year of the fellowship.
• Significant prior neuroimaging experience with one or more stimulation
modalities (tDCS, tACS, TMS) is a plus, but not required
• A passion for the CMI mission
APPLICATION DETAILS
Click here to apply:
https://home.eease.adp.com/recruit2/?id=13420431&t=2. Please upload
cover letter and resume as one document in the resume section on the
application site.
For questions regarding this position, please contact Dr. Michael Milham
at Michael.Milham(a)childmind.org. No phone calls or recruiters, please.
Employment at Will Relationship: This position description does not
constitute a guarantee that employment will continue for any specified
period of time. Rather, employment is at the mutual consent of the
employee and CMI, and can be terminated at will by the employee or by CMI.
CMI reserves the right to modify the job description and/or reporting
relationship at any time.
CMI is an Equal Opportunity Employer, and is committed to recruiting and
maintaining a diverse staff; individuals from all backgrounds are
strongly encouraged to apply.
To learn more about the Child Mind Institute, please visit
www.childmind.org.
=========================
5.
Istituto Italiano di Tecnologia (IIT) is a private law Foundation,
created with the objective of promoting Italy's technological
development and higher education in science and technology. Research at
IIT is interdisciplinary and addresses basic and applied science through
the development of novel technical applications.
We are looking for a highly motivated post doc to join the Functional
Neuroimaging lab at the Center for Neuroscience and Cognitive Sciences
(CNCS) @UNITN in Rovereto, Italy, one of the research nodes set up by
IIT. The CNCS is an interdisciplinary research center dedicated to the
investigation of the brain at multiple scales.
The functional neuroimaging lab is equipped with a state-of–the-art 7
Tesla MRI scanner for preclinical research, and is devoted to the use of
functional MRI methods to map large-scale neural systems of the mouse
brain. The overall aim of this project is to apply fMRI readouts to
spatially resolve the neural substrate modulated by pro-social compounds
and to relate them to the endogenous function of target neuromodulatory
systems using opto/chemogenetic approaches.
The ideal candidate has a PhD in Neuroscience, Biology, Pharmacology or
a related discipline. Previous experience in rodent behavioural
readouts, immunohistochemical techniques as well as basic knowledge of
computer coding are highly recommended.
We value scientists who can interact effectively with an
interdisciplinary team, have a high level of independence and take
accountability for their project. Successful applicants should also be
willing to learn a variety of complementary techniques through
secondments at other IIT research nodes (Pisa, and Genova).
Please send your application (full CV, academic referees, statement of
research interest and names of 2 referees) by email to
alessandro.gozzi(a)iit.it quoting “Job Reference number CB 68793” in the
subject line.
Please apply before August 31, 2015.
Alessandro Gozzi, PhD
Istituto Italiano di Tecnologia
Center for Neuroscience and Cognitive Systems @ UNITN
Corso Bettini 31, 38068 Rovereto, Italy
Tel: +39 0464 808 701
alessandro.gozzi(a)iit.it
======================
6.
Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Segmentation: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on image feature learning and segmentation. Experience on
medical image segmentation using deformable surface, level sets, and
graph cut is highly desirable. People with machine learning background
on image features and shape statistics are particularly encouraged to
apply. Strong knowledge on programming (good command of LINUX, C and
C++, scripting, and Matlab) is desirable. The research topic will be the
development and validation of segmentation methods for brain
segmentation and surface reconstruction.
Registration: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on feature learning and correspondence detection.
Experience on medical image registration is highly desirable. People
with experience on pairwise, group-wise and/or 4D registration are
particularly encouraged to apply. Knowledge on brain development and
also strong background on programming (good command of LINUX, C and C++,
scripting, and Matlab) are desirable. The research topic will be the
development and validation of 3D, 4D, and group-wise image registration
methods for early brain development and aging studies.
Atlas Construction: Candidates with experience on patch-based sparse
representation are encouraged to apply. The research topic will be the
development of atlas construction methods for infant brain images.
The successful candidates will be part of a diverse group including
radiologists, psychologists, physicists, biostatistician, and computer
scientists, and will build upon the group's previous work on medical
image analysis. If interested, please email resume to Dr. Dinggang Shen
(dgshen(a)med.unc.edu).
=================
7.
A research assistant/postdoctoral position in fMRI (initially for 2
years) is available at the Minneapolis Veterans Affairs Medical
Center/University of Minnesota. Responsibilities will include acquiring
and analyzing fMRI data in projects investigating the role of the
cerebellum in sensory and cognitive processing. Candidates with
background in neuroscience, psychology, radiology or related disciplines
are invited to apply. Please send enquiries or c.v. to Dr. Khalaf
Bushara , E-mail: busha001(a)umn.edu
1.
We are looking for a PhD student with a background in
Neuroimaging/Physics/Biomedical Engineering in Amsterdam.
The aim of the project is to optimize neurosurgical deep brain
stimulation targeting using 3T and 7T scans.
Compensation is according to the collective agreement (CAO-UMC) and
amounts from EUR 2200,- gross per month in the first year to EUR 2818,-
in the fourth year.
For further information, please visit this website:
www.academictransfer.com/28873
Best wishes,
Guido
http://www.spinozacentre.nl/
================================
2.
Open position: PhD student in Computational Neuroimaging
The successful candidate will contribute to research in the
Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the
Biomedical Engineering Department at New Jersey Institute of Technology.
The Lab focuses on development and implementations of analytic and
statistic models for providing quantitative biological criteria that
help diagnosis of cognitive deficits, by integrating high-dimensional
multi-modal neuroimaging, clinical and behavioral data and refined
imaging analysis and multivariate machine learning techniques. The
collaborative research team includes renowned quantitative and clinical
scientists affiliated at New Jersey Institute of Technology, Rutgers
University, Icahn School of Medicine at Mount Sinai, City University of
New York, and Albert Einstein College of Medicine. The multiple
neuroimaging modalities involved in the lab includes structural MRI,
DTI, task-based and resting-state fMRI and functional near-infrared
spectroscopy (fNIRS). The study population greatly focuses on children
with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum
Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Candidate Requirements: The candidate should have a Master’s degree in
biomedical engineering, electrical and computer engineering, computer
science, mathematics, physics, computational neurosciences or a related
discipline. Expertise in brain imaging and/or programming is highly
preferred.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies; to analyze complex multi-modal and longitudinal
neuroimaging and clinical data; to participate in MRI data acquisition,
manuscripts writing.
Programming Languages and Toolboxes employed in the lab: Matlab, C/C++,
Python, Shell Scripts, R, SAS, FSL, FreeSurfer, SPM, AFNI, etc.
Operating Systems employed in the lab: Linux based high performance
parallel computing system.
Contact: The candidature (Research Statement, CV, copies of the
transcript and diploma) goes to:
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN
Lab)
New Jersey Institute of Technology
xiaobo.li(a)njit.edu
================================
3.
Call for Application for Prospective Ph.D. Students
Code: 16167 - Psychology and Social Neuroscience
Research curriculum in Cognitive Social and Affective Neurosciences (CoSAN)
WHAT:
3 three-year funded PhD positions in Cognitive, Social and Affective
Neuroscience (CoSAN) programme (http://www.cosanphd.com)
WHO:
High-motivated applicants with a deep interest in systems neuroscience
and higher-order cognitive, affective and social functions are
encouraged to apply. Preferred Degrees: Psychology, Medicine,
Neuroscience, Computational Neuroscience, Computer graphics, Computer
Science, Biomedical engineering, Statistics, Mathematics
Computer Programming skills are in particularly high demand.
Applications are invited from candidates who:
* hold an Italian diploma di laurea / laurea specialistica / laurea
magistrale in any discipline,
* hold an equivalent second-level degree (generally equivalent to a
Master’s Degree) obtained in any country , in any discipline
* expect to receive their degree award by October 31, 2015
WHERE:
* Department of Psychology, Sapienza University of Rome
http://dippsi.psi.uniroma1.it
* Santa Lucia Foundation, Rome http://www.hsantalucia.it
COORDINATOR OF THE PROGRAM
Salvatore Maria Aglioti, Director of the Social and Cognitive
Neuroscience Laboratory, Sapienza University of Rome http://agliotilab.org/
STIPEND: Euro 13.638,47 per year, before taxes
RESEARCH TOPICS:
Neural correlates of cognitive, social and affective processes including:
* Bodily and brain correlates of Intergroup processing, stereotype and
prejudice.
* Joint attention and joint action in healthy and brain damaged people.
* Intention, action and emotion understanding
* Pain perception, empathy for pain, existential neuroscience
* Body awareness and Self-Other distinction in healthy, spinal cord
injured, and brain damaged people
* Embodiment and agency in Immersive virtual reality
RESEARCH TECHNIQUES:
* Transcranial Magnetic Stimulation (TMS)
* Transcranial electric Stimulation (tDCS, tACS)
* Electroencephalography (EEG), including:
o Somatosensory Evoked Potentials (SEP)
o Laser Evoked Potentials (LEP)
* Infrared Eye-tracking and Motion-tracking
* Thermal Imaging
* Immersive virtual reality (CAVE and Head mounted display)
* Lesion Mapping analysis
* fMRI
HOW:
Admission is based on an evaluation of the skills and aptitude of the
candidate, and the selection procedure includes two steps:
Phase 1. Evaluation of qualifications
Phase 2. On site (or video-conference) interview
WHEN:
APPLICATION DEADLINE: 24/07/2015 11.59 pm CET
HOW TO APPLY:
See http://www.cosanphd.com/ and
http://www.uniroma1.it/sites/default/files/bando%20%20inglese.pdf
Phase 1. The outcome of the evaluation will be published on
31/07/2015.
Phase 2. On site interviews will start from 07/09/2015 at 9:00 AM
at the Department of Psychology. It is possible, following motivated
requests, to conduct Phase 2 interview using video-conferencing facilities.
Please, pay attention that the on-site interviews, originally scheduled
on September 17th, will start on September 7th
INFO:
http://www.cosanphd.com/http://agliotilab.org/http://www.uniroma1.it/sites/default/files/bando%20%20inglese.pdfhttp://www.uniroma1.it/sites/default/files/bando_31.pdf
CONTACT INFO:
Paola Trussardi (organizational manager) - paola.trussardi(a)uniroma1.it
(administrative requests)
Salvatore M. Aglioti or Emmanuele Tidoni -
salvatoremaria.aglioti(a)uniroma1.it or emmanuele.tidoni(a)uniroma1.it
(scientific requests)
====================================
4.
Please see the link below for information on a funded studentship in
neuroimaging at the Aberdeen Biomedical imaging Centre
http://www.abdn.ac.uk/clsm/graduate/research/brain-lesions-997.php
I’m happy to reply to requests for further information but applications
must be done via the University of Aberdeen’s web page.
Gordon
Gordon D. Waiter PhD CSci MIPEM CPhys MInstP
Aberdeen Biomedical Imaging Centre
Division of Applied Medicine
University of Aberdeen
Lilian Sutton Building
Foresterhill
Aberdeen
AB25 2ZD
Tel: +44 (0)1224 438356 (University Internal 8356: NHS Internal 768356)
Fax: +44 (0)1224 438364
g.waiter(a)abdn.ac.uk
=====================
5.
A research assistant/lab manager position is available in the Language
Behavior and Brain Imaging Lab (http://lbbil.rutgers.edu/) at Rutgers
University in Newark, New Jersey. Much of our research is devoted to the
cognitive neuroscience of reading, with potential application to reading
disorders. Other aspects of brain and language studied in the lab
include concept formation and speech production. Research is performed
using a variety of techniques such as functional magnetic resonance
imaging (fMRI), diffusion tensor imaging (DTI), behavioral responses,
gene-brain correlations, and magnetoencephalography (MEG).
Responsibilities will include data collection from human research
participants in both a purely behavioral and functional brain imaging
setting, contacting and scheduling research participants, managing
institutional review board (IRB) protocols, and data analysis.
Requirements for a successful applicant include spoken and written
proficiency in English, a minimum of a bachelor-level degree (e.g., BA
or BS), preferably in psychology, neuroscience, computer science,
engineering, biology, or a related field, and willingness to make a
2-year commitment. Preference will be given to applicants who have
experience in cognitive neuroscience research with human participants,
are proficient with the linux computing environment, have used
experiment delivery and data acquisition software such as E-prime, and
can program in a scripting language such as Matlab or Python.
Rutgers is the state university of New Jersey, and its Newark campus is
in the state’s largest city. Newark is undergoing a renaissance of its
own and is only minutes from Manhattan by train. Applications will be
reviewed as they are received, with a deadline of September 15th. Please
email a resume or CV and contact information for 3 references to
william.graves(a)rutgers.edu.
==============================
6.
The 2 job adverts- a post-doc and a research assistant to work on my
Wellcome Trust funded post-stroke project - Mechanisms underlying spoken
language production: facilitating frontal brain networks following
aphasic stroke are now out! A strong neuroimaging ( DCM) candidate
would be ideal for the postdoc position.
Details can be found here :
jobs.ac.uk ref: ALN097
jobs.ac.uk ref: ALN227
and can be viewed here:
http://www.jobs.ac.uk/job/ALN227/research-associate/http://www.jobs.ac.uk/job/ALN097/research-assistant/
Please circulate to anyone you think may be interested. Fingers
crossed we find the right team.
Looking forward to (finally) getting going with this.
Thanks for your help.
Best wishes,
Jenny
Jenny Crinion
Clinical Scientist/ Speech and Language Therapist,
Institute of Cognitive Neuroscience,
University College London,
17 Queen Square,
London WC1N 3AR,
UK
Phone: + 44 (0)207 679 1129
Fax: + 44 (0)207 813 2835
http://www.ucl.ac.uk/crinionlab
j.crinion(a)ucl.ac.uk
=====================
7.
A postdoctoral position is available immediately in the Neuroimaging
group (Head: Dr. Igor Yakushev) at the Department of Nuclear Medicine,
Technische Universität München (TUM), Munich, Germany.
Projects with include the modeling of cerebral networks and disease
trajectories on the basis of brain images, as obtained using PET
(amyloid, FDG), DTI, and fMRI. The group's clinical focus is
neurodegenerative disorders, in particular Alzheimer’s disease. Existing
image data will provide the basis for prompt data analyses and publications.
The research group is integrated into the TUM Neuroimaging Center, which
possesses a broad methodological and thematic expertise:
http://www.tumnic.mri.tum.de/tumnic/index.html
The Dept. of Nuclear Medicine offers exciting opportunities for
neuroimaging research in an interdisciplinary environment and access to
state-of-the-art technology including a hybrid PET/MR scanner.
The candidate should hold a PhD or equivalent degree in a relevant
discipline (e.g., computer sciences, engineering, physics, mathematics,
neuroscience, medicine). Experience in image analysis tools (SPM, FSL,
FreeSurfer) is desirable. Solid knowledge of programming (Matlab, Java)
and statistics (SPSS, SAS, R) is advantageous.
Salary is according to TV-L. The position is limited for two years, with
a possibility of extension. Applications will be considered until the
position has been filled.
Interested researchers should submit their applications including CV,
two recommendation letters (or names and contact details of personal
references), and a brief letter of motivation to Dr. Yakushev at
igor.yakushev(a)lrz.tum.de
=================================
8.
A CAS supported post-doc position is aviable in Hefei in China (CAS
President’s International Fellowship for Postdoctoral Researchers).
We are seeking for qualified candidates who have got PHD degree and are
interesting in addiction and/or decision making research using MRI,
fMRI, EEG, and tDCS.
The salary is about $31000-$34000/year (0.2million Chinese yuan /year).
The application deadline is August 15th.
If you have some question or want to submit a CV, please feel free to
send email to zxcustc(a)ustc.edu.cn
Thanks a lot!
Xiaochu
=======================
9.
We are looking for a full-time Postdoctoral Research Fellow to work
within the School of Psychology, University of Birmingham. The
successful candidate will work on a 5-year project funded within an ERC
Consolidator Grant to investigate the role of brain oscillations for
human episodic memory. The project focusses on intracranial single-unit
recordings in human epilepsy patients and computational modelling of
oscillations in memory networks. The postdoctoral researcher will design
and conduct experiments with patients in Birmingham and Germany
(Erlangen), analyse electrophysiological data and publish the results in
international peer reviewed journals. The researcher should also use
computational modelling as a tool to generate hypothesis and test the
empirical data. The person we are looking for will have demonstrable
experience on human or animal electrophysiology and oscillations as
measured with EEG/MEG or, ideally, intracranial EEG. They should have a
background, or strong interest, in computational modelling of neural
networks.
They will have an advanced degree (preferably a PhD in Psychology,
Computational Neuroscience, or Neuroscience). They must be fluent using
Matlab and related toolboxes for analysing brain oscillatory data (i.e.
Fieldtrip). We require an individual with very good communication
skills. Strong interest in working in a clinical environment is
required, and previous clinical experience is a plus.
This position will be held in the Memory and Oscillations Lab and will
be supervised by Dr Simon Hanslmayr. The lab is a dynamic active group
that includes several other Post docs and PhD students and provides a
supportive and stimulating environment in which to work.
Start date is 1 October 2015.
To download the details of this position and submit an electronic
application click HERE or visit www.hr.bham.ac.uk/jobs and enter the job
reference number 55204 in the search engine.
Please send informal enquiries to Dr Simon Hanslmayr
(s.hanslmayr(a)bham.ac.uk).
Dr. Simon Hanslmayr
Senior Lecturer
School of Psychology
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK
Tel +44 121 4146203
http://www.birmingham.ac.uk/schools/psychology/people/profile.aspx?Referenc…
======================================
10.
he Department of Experimental Psychology at Göttingen University is
looking to fill a full post-doc position for 3 + 3 years, beginning
01.10.2015. Salary: Pay grade 13 TV-L. Applicants need to proficient
German speakers to give lectures in the Bachelor Psychology.
The finally selected candidate studied psychology and holds a highly
qualified PhD in Psychology; has excellent programming experience
(e.g., Matlab, Presentation and statistical software like R),
publications on psychophysiological studies of visual processes
(preferably fMRI) and knowledge of and interest in the visual system,
visual cognition, and neuroanatomy.
Please send your application with the usual documents (also in
electronic form) by July 12th, 2015 to Georg-August-Universität
Göttingen, Institute for Psychology, Department of Experimental
Psychology, Gossler-Str. 14, 37073 Göttingen, e-mail:
uwe.mattler(a)psych.uni-goettingen.de.
For more Information see: www.uni-goettingen.de/de/305402.html?cid=10715.
================================
11.
Postdoctoral positions on the cognitive neuroscience of implementing
instructions
We are offering two 2-year post-doctoral positions at the Faculty of
Psychology and Educational Sciences, Ghent University, Belgium. The
positions are situated in the research groups of Prof. Marcel Brass and
Prof. Jan De Houwer and are related to the question of how instructions
shape basic cognitive processes. We expect the successful candidate to
hold a PhD in psychology, cognitive neuroscience, biology or a related
discipline. Furthermore, the candidate should have conducted
neuroscientific research on cognitive processes. Experience with fMRI
and/or TMS is an asset. We offer an excellent research environment with
state of the art neuroimaging facilities.
Please send your applications including your CV, a copy of the PhD
diploma and contact details for two referees to Prof. Marcel Brass
(marcel.brass(a)ugent.be).
Applications need to be in by July 20, 2015. The starting date is
negotiable.
==========================
12.
Open position: Postdoctoral Research Associate in Computational Neuroimaging
This is a two years position, renewable for longer term based upon
performance and productivity. The Lab focuses on development and
implementations of analytic and statistic models for providing
quantitative biological criteria that help diagnosis of cognitive
deficits, by integrating high-dimensional multi-modal neuroimaging,
clinical and behavioral data and refined imaging analysis and
multivariate machine learning techniques. The collaborative research
team includes renowned quantitative and clinical scientists affiliated
at New Jersey Institute of Technology, Rutgers University, Icahn School
of Medicine at Mount Sinai, City University of New York, and Albert
Einstein College of Medicine. The multiple neuroimaging modalities
involved in the lab includes structural MRI, DTI, task-based and
resting-state fMRI and functional near-infrared spectroscopy (fNIRS).
The study population greatly focuses on children with Attention
Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD),
Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Qualifications of candidate:
A PhD degree in biomedical engineering, electrical and computer
engineering, computer science, mathematics, statistics, computational
neurosciences or a related quantitative field
Research experiences in analyses of neuroimaging data collected
from any of the following modalities: structural MRI, DTI, fMRI, fNIRS,
and EEG/ERP
Strong programming skills in any of the following languages:
Matlab, C/C++, Python, Shell Scripts, R, SAS, and extensive knowledge on
Unix/Linux operating systems
Candidates with strong experience on machine learning, pattern
classification, regression methods, or sparse representation are
particularly encouraged to apply.
Additional qualifications include ability to work well in a
multidisciplinary, highly collaborative research team; interest in
translational research between neuroscience, computational models, and
clinical populations, and s strong record or potential for scholarly
productivity.
Contact: Please email your CV, statement of research interests and
career goals, and copies of representative publications in a single PDF
document to:
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN
Lab)
New Jersey Institute of Technology
xiaobo.li(a)njit.edu
==========================
13.
PostDoc Position in Connectome Research at USC
A post-doctoral fellow position in brain connectome research is
available at the Laboratory of Neuro Imaging (LONI,
http://www.loni.usc.edu ) at the Stevens Neuroimaging and Informatics
Institute of USC (http://www.ini.usc.edu). The post-doc fellow will be
responsible for developing innovative computational techniques to study
vision-related brain connectome using multi-shell diffusion MRI data.
The focus of the research will be developing novel algorithms for fiber
orientation distribution (FOD) reconstruction, FOD-based tractography,
and fiber bundle reconstruction to improve the state-of-the-art in
modeling human visual pathway. Through the Laboratory of Neuro Imaging
at the Stevens Neuroimaging and Informatics Institute at USC, the
post-doctoral fellow will have access to the ideal environment for brain
imaging research. The LONI image data archive (IDA) is one of the
largest brain image collections that hosts various imaging repositories
such as ADNI. The datacenter of LONI boasts 3,328 cores and 26 terabytes
of aggregate memory space for Big Data brain image analysis. The new
institute will also house a state-of-the-the- art image acquisition
center with both 3T (high performance gradient Prisma) and 7T MR
(Siemens) scanners for human brain imaging. More information can be
found at http://www.ini.usc.edu and http://www.loni.usc.edu.
The ideal candidate should have a PhD in engineering, computer science,
or applied mathematics, and strong background in brain or medical image
analysis. Prior research experience (publications) in diffusion MRI is
encouraged and a definite plus. Solid programming skills in C++ and
Matlab are desirable. Interested candidates should send their CVs to Dr.
Yonggang Shi (yshi(a)loni.usc.edu).
Yonggang Shi, Ph.D.
Assistant Professor, Tenure-Track
USC Stevens Neuroimaging and Informatics Institute
Laboratory of Neuro Imaging (LONI)
Keck School of Medicine of USC
University of Southern California
2001 North Soto Street – SSB1-Room 102
Los Angeles, CA 90032
Phone: (323) 44-BRAIN (442-7246)
===============================
14.
Postdoctoral Fellow on Data Mining
A prospective, longitudinal birth mother-offspring cohort study (Growing
Up in Singapore Towards Health Outcomes; GUSTO) study provides a unique
opportunity to investigate 1) gene-environment influence on cognitive
and brain development; 2) the regulation of epigenetic memory on the
development of children’s mental health. GUSTO establishes the intense
assessment of cognition, emotional, brain imaging, genetics and
epigenetics from infancy onwards and environmental measurements, such as
maternal mental health, nutrition, social support etc. We are now
seeking researchers who are interested in mining GUSTO data at all
levels. We aim to identify new markers characterizing environmental,
genetic, and cognitive factors and hence explaining epigenetic markers
and children’s mental health. The position includes opportunities to
apply novel computational models to high-dimensional data sets and
develop expertise in 'big data' analysis in neuroscience and to work
within a highly multidisciplinary research setting that includes
expertise in bioinformatics and biostatistics.
Requirements:
· PhD on cognitive or affective neuroscience, neuroimaging,
bioinformatics, computer vision, statistics, or relevant field
· Experience on mining high dimensional data
· Good communication in English language
· English writing skill is a must.
=======================
15.
The Department of Psychology at Rutgers University-Newark anticipates
hiring at the assistant professor (tenure track) level. We seek
applications from individuals with specializations in areas of
Psychology and Neuroscience that primarily use fMRI as a methodology.
Examples of research areas of special interest include social,
developmental and cognitive neuroscience.
Applicants that incorporate brain connectivity concepts in their
research are encouraged to apply. Applicants will have access to the
new Rutgers University Brain Imaging Center (RUBIC; Siemens 3T Trio).
This position requires a Ph.D. in Psychology, Neuroscience, or related
field.
Highest priority will be given to applicants who demonstrate excellence
in teaching at the graduate and undergraduate levels, provide research
mentorship to students, and have research programs that can be supported
by external funding. Applicants should submit a CV, statement of
research and teaching interests, 3 top pre/re-prints and 3 letters of
recommendation to: facultysearch(a)psychology.rutgers.edu. We will give
priority to applications received by October 15th but will continue the
search until the position is filled. Diversity Mission: Rutgers/Newark
is the most ethnically diverse research-oriented campus in America (16
consecutive years, US News & World Report). Applicants may include a
brief statement in their cover letter explaining how their membership in
our department will advance the University commitment to diversity. All
qualified applicants will receive consideration for employment without
regard to race, color, religion, sex, sexual orientation, gender
identity or expression, national origin, disability, protected veteran
status or any other classification protected by law. Rutgers-Newark is
an Affirmative Action/Equal Opportunity Employer and actively encourages
applications from minorities, women, and other underrepresented groups.
===========================
16.
TWO NEW JOB OPPORTUNITIES IN CUBRIC, CARDIFF, UK
Dear Colleagues
Cardiff University Brain Research Imaging Centre (CUBRIC) is undergoing
a major expansion of building, equipment and staff. The centre features
4 Siemens MR Scanners (1 x 7T MRI, 2 x 3T Prismas and a Connectom system
with 300 mT/m gradients, MEG, EEG, fNIRS, TMS/TDCS)
Please visit goo.gl/DP18uS to see details of the new centre, equipment,
funding.
The first two posts are currently open for applications:
Permanent (tenured) Academic Physicist in Ultra-high Field MRI:
goo.gl/2zp4oZ
Siemens MR Onsite Scientist: goo.gl/qfWQ3r
(Lots more jobs being advertised in the coming months)
Informal enquiries can be address to cubric(a)cardiff.ac.uk
================================
17.
The Wolfson Brain Imaging Centre, University of Cambridge, is pleased to
announce the creation of a new postdoctoral position, Head of 7T MRI
Physics, which will lead the development of research studies on the
newly acquired Siemens 7T scanner. This will involve close liaison with
researchers in the University and MRC Cognition and Brain Sciences Unit,
which co-funds this position. The post-holder will be expected to drive
forward physics-based research on the scanner, and to enhance the
delivery of research MR protocols and data analysis in research areas
relevant to the users of the facility. These include clinically driven
research areas such as dementia, stroke, head injury, and hydrocephalus,
and also studies of normal and abnormal psychology driven by cognitive
neuroscience. Particular applications of 7T MRI that are targeted for
development in Cambridge include (but are not limited to): functional
imaging of cortical layers, high resolution structural imaging, and
spectroscopic analysis of neurotransmitter systems. The role will also
require the post-holder to work with other member sites of the UK7T
network (Oxford, Nottingham, Cardiff and Glasgow), to ensure rapid
translation of scientific innovations across the sites. The post-holder
will be expected to apply for funding to grow the MRI physics team, and
to take on the supervision of PhD students. The successful candidate
will have a PhD in a relevant discipline, 7T human MRI experience at
post-doctoral level of MR physics as part of a multidisciplinary
research group, competence in pulse sequence implementation (IDEA
experience is desirable) and competence in some of the following tools:
C, X-Windows, Unix, Tcl/Tk, MatLab, Java, C++.
For more information please see: http://www.jobs.cam.ac.uk/job/7488 or
contact Dr Adrian Carpenter: enquiries(a)wbic.cam.ac.uk. The closing date
is August 8th 2015.
----------------------------------------------------------------------------------------------------------------------
Guy Williams, MA, PhD
Assistant Director of Research
Wolfson Brain Imaging Centre
Department of Clinical Neurosciences
University of Cambridge School of Clinical Medicine
Box 65 Cambridge Biomedical Campus
Cambridge
CB2 0QQ
Tel.: +44 1223 746464
Fax.: +44 1223 331826
==============================
Hi all,
The University is having problems with the JANET (Internet) connection
this morning. Problems started shortly after 7am.
IT Services are working with JANET to return the connection to a stable
state. Work originally scheduled by IT Services to take place this
morning has not yet taken place and therefore the JANET connection
should be regarded as at risk. IT Services will be providing updates on
their twitter account:
https://twitter.com/UoYITServices
Thanks, Paul.
--
Paul Elliott, UNIX Systems Administrator
York Neuroimaging Centre (YNiC), University of York
Dear Users
This afternoon (from 4 pm in B020) there will be two internal project
proposal presentations:
1)**Jonny Smallwood
*"Exploring the psychological, structural architecture of spontaneous
thought: A cohort study" *
2) Rachel Woodall
*"Assessing visual cortex in candidates for retinal prosthetics"*
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This Thursday (from 4 pm in B020) there will be two internal project
proposal presentations:
1)**Jonny Smallwood
*"Exploring the psychological, structural architecture of spontaneous
thought: A cohort study" *
2) Rachel Woodall
*"Assessing visual cortex in candidates for retinal prosthetics"*
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This afternoon (from 4 pm in B020) Dr. Rebecca Jackson, University of
Manchester, will give a Connectivity Club talk on *"The use of Novel and
Convergent Methodologies to assess Semantic and Default Mode Networks"*.
http://www.manchester.ac.uk/research/rebecca.jackson/personaldetails
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
A 3 year postdoctoral fellowship in Multimodal Imaging at NORMENT is
currently available. NORMENT is a Norwegian Centre of Excellence, and
coordinates a translational multicenter study involving all University
hospitals in Oslo and several groups at the Universities of Oslo and
Bergen. The main aims are to disentangle the neurobiological, genetic,
psychological and environmental factors contributing to the development
of severe mental disorders. Through our extensive infrastructure for
clinical evaluations, cognitive testing, MRI and biobanking we are
assembling a comprehensive database comprising healthy controls and
patients suffering from schizophrenia and bipolar disorders. NORMENT is
directly involved in several large-scale international collaborative
efforts, to which the successful candidate is expected to contribute.
http://tinyurl.com/pu6hug2
* Job description
The postdoctoral fellow will play a central role in the analysis and
dissemination of data from a large imaging genetics database, in
particular focusing on developing and applying methods for integrating
multimodal imaging (sMRI, DTI, fMRI) and genetics. The work will be
carried out as part of a cross-disciplinary team in close collaboration
with the NORMENT Biostatistics and Genetics groups, and researchers at
the Oxford FMRIB Centre (http://www.fmrib.ox.ac.uk), University of
California, San Diego (http://mmil.ucsd.edu), and deCODE genetics,
Iceland. The position is funded through an extended career grant from
the Norwegian Health Authorities.
* Qualifications
The successful candidate is ambitious and highly motivated for pursuing
a research career, holds a PhD in neuroimaging, computational or
cognitive neuroscience, biomedical engineering, biostatistics, or
equivalent, has a strong background and interest in neuroscience,
genetics, MRI analysis or biostatistics, and a strong publication
record. Previous experience with imaging genetics or brain network and
connectivity analysis is an advantage. Proficiency in shell scripting,
Matlab, R, python or similar programming languages or software tools is
required.
* The application
Applications are submitted through the Oslo University Hospital online
recruitment system and must include application letter including
motivation for applying for the position, CV summarizing education,
relevant work experience, grants etc, a complete list of publications
and academic work, and contact details of 2-3 references.
Application deadline: July 15 2015
For any informal enquiries regarding the position, please do not
hesitate to contact group leader Lars T. Westlye
(l.t.westlye(a)psykologi.uio.no).
http://tinyurl.com/pu6hug2
----
Lars T. Westlye, PhD
Senior Researcher, Head of Multimodal Imaging Group
NORMENT CoE, KG Jebsen Centre for Psychosis Research, Oslo University
Hospital, Oslo, Norway
Associate Professor II
Department of Psychology, University of Oslo
Email: l.t.westlye(a)psykologi.uio.no | Phone: +47 971 63 221
==============================================================
2.
Postdoctoral Fellowship at Duke-National University of Singapore
Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center
for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National
University of Singapore is looking for postdoctoral fellow in cognitive
neuroscience and/or multimodal neuroimaging.
Our group studies the human neural bases of social-emotion, cognition,
and memory functions and the associated vulnerability patterns in
neuropsychiatric disorders, including neurodegenerative diseases
(focusing on AD, FTD and preclinical stages) and Schizophrenia.
Multimodal neuroimaging and psychophysical techniques are employed,
including magnetic resonance imaging (MRI), functional MRI, diffusion
tensor imaging, and electroencephalography (EEG). We are interested in
developing computational methods to examine the network-level structural
and functional brain connectivity to shed light on the neurobiological
mechanism of disease, paving the way for early detection and intervention.
Candidates must have a passionate enthusiasm for research, a strong
background in one of the following fields: computational neuroscience,
cognitive neuroscience, neuropsychiatric disorders, neuroimaging
analyses, mathematics/statistics/machine learning or related-fields.
He/she should also possess the ability to take the initiative, work
independently and be motivated to work in a highly collaborative and
international research environment, and be able to demonstrate
creativity, technical independence and excellent communication skills.
Strong interest in studying dynamic functional connectivity and its
relationships with cognition and disease would be a plus. Proven skills
in fMRI/EEG/DTI data analyses is a plus but not necessary.
Key attractions are access to a 3T Prisma MR scanner and a MR compatible
digital EEG system as well as collaboration opportunities with an
excellent network of domestic and international scientists and doctors.
The position will be two years with possible extension. Competitive
package will be provided based on experience.
Interested applicants are welcome to email Assistant Prof. Helen Juan
Zhou at helen.zhou(a)duke-nus.edu.sg with application letter, curriculum
vitae, three references, and contact information. Website:
https://sites.google.com/site/mneuroimaginglab/;
http://www.duke-nus.edu.sg/content/zhou-juan-helen
===========================================
3.
MRC PhD studentship
Doctoral Training Programme, University of Nottingham.
Supervisors:
Sue Francis, Sir Peter Mansfield Imaging Centre
Denis Schluppeck, School of Psychology
We are looking to recruit a highly motivated PhD student to study
"Somatotopic maps and their renormalisation in patients". The project
will combine state-of-the art anatomical and functional MRI at 7 T and
advanced data analysis methods. In particular, we aim to measure (a) the
topographic organization of human somatosensory cortex (at the scale of
a millimetre), (b) the relationship of these maps to columnar and
laminar structures (which are fractions of a millimetre), and (c) how
these structures are re-organized over time (plastically) in the brains
of patients with sensory loss.
Our group has recently been awarded a £690,000 collaborative MRC grant
to develop this work using 7 T MRI, so the student will be able to
benefit from our clinical and non-clinical collaborations at Nottingham,
Liverpool, Gothenburg, Aix-Marseille, and North Carolina.
Candidates should hold a degree in a relevant field such as
neuroscience, psychology, physiology, physics, computer science or a
related discipline. We are looking for a highly motivated individual
with a general interest in sensory perception, attention and/or decision
making. Candidates should have excellent quantitative skills, including
a background in computing (preferably Matlab or C/C++), as well as
mathematical and technical skills. Experience with neuroimaging, in
particular acquisition and analysis of functional MRI data, is a plus.
This is a 3-year funded position available from the 1st of September
2015 and the person appointed will be expected to start no later than
1st October 2015. Standard Research Council stipend rates will apply
(£14,210 in 2015/16).
Informal enquiries may be addressed to Dr Susan Francis, [Email:
susan.francis(a)nottingham.ac.uk] or Dr Denis Schluppeck [Email:
denis.schluppeck(a)nottingham.ac.uk].
Further details about the Sir Peter Mansfield Imaging Centre and the
School of Psychology are available at:
http://www.nottingham.ac.uk/psychology and
http://www.nottingham.ac.uk/research/groups/spmic/
===================================================
4.
Location: School of Psychology, University of Kent, Canterbury
Salary: £32,277 to £45,954
Hours: Full Time
Contract Type: Permanent
Closes: 21st June 2015
Are you passionate about cognitive psychology or cognitive neuroscience?
Do you have the academic skills to challenge thinking, foster debate and
develop the ability of students to engage in critical discourse and
rational thinking?
As a Lecturer in the School of Psychology, you will provide research,
teaching, supervision and related administration to enhance the student
experience in this subject area.
This position is offered on an ongoing and full time basis.
As Lecturer in Cognitive Psychology/Cognitive Neuroscience you will:
-Undertake research both independently and collaboratively
-Train and support students and colleagues in the use of specialist
equipment, programming and analysis
-Contribute to core teaching on the undergraduate and MSC Psychology
programmes
As Lecturer in Cognitive Psychology/Cognitive Neuroscience you will have:
-A PhD in Psychology, Neuroscience or a cognate discipline
-Successful completion of world-leading and internationally excellent
research
-Evidence of methodological expertise (e.g. TMS, EEG, eye-tracking)
-Evidence of the ability to obtain competitive research grants from UK
research councils/other international sources
If you have the skills and experience we are looking for, this role
provides a great opportunity to develop your academic career in a
supportive and collegiate environment.
School of Psychology
The School of Psychology at the University of Kent is consistently rated
in the top 20 of UK course providers.
Based upon factors such as entry standards, student satisfaction,
research assessment and graduate prospects, Psychology at Kent ranked
13th in the 2015 Complete University Guide, 14th in the 2015 Guardian
University Guide, and 19th in the 2015 Sunday Times/Times Good
University Guide.
Our research has four key themes: cognition and neuroscience;
developmental psychology; forensic psychology; and social psychology. In
all these fields, we have an excellent record of attracting external
research funding and postgraduate students and in recent years the
School has won funding from the ERC, ESRC, MRC, Leverhulme Trust,
British Academy, Nuffield Foundation, Department of Trade and Industry,
Age UK, People United, the Higher Education Academy, the Big Lottery
Fund, Department of Communities and Local Government, the Ministry of
Justice, and HM Prison Service.
For more details, and to apply, click here:
https://www11.i-grasp.com/fe/tpl_kent01.asp?newms=jj&id=39101&aid=14243
===========================================
5.
One-year neuroimaging postdoc on learning and decision-making
http://www.reading.ac.uk/about/jobs/about-job-details.aspx?vacancy_id=10465…
--
Dr Anastasia Christakou
Centre for Integrative Neuroscience & Neurodynamics
School of Psychology & Clinical Language Sciences
University of Reading
anastasia.christakou.org
==========================
6.
Two positions are available for Postdoctoral Fellows in the lab of Dr.
Matilde Inglese, Department of Neurology at the Icahn School of Medicine
at Mount Sinai Hospital in New York city.
The ideal candidates would hold a Ph.D. degree in Medical Physics,
Biomedical Engineering, or a related field. These positions requires
experience in the acquisition and analysis of structural/functional MRI
data and/or MR spectroscopy data. Candidates should be highly motivated
and interested in working in an interdisciplinary environment. Strong
written and oral English communication skills are required.
Details for each position can be found in the attached documents.
Applicants should send a cover letter describing research experience and
interests, as well as an up-to-date curriculum vitae, and contact
information for three references to Matilde Inglese, M.D., Ph.D., by
email: matilde.inglese(a)mssm.edu.
Potential applicants can contact me during the OHBM meeting or by email
(catarina.saiote(a)mssm.edu) to find out more about the role.
Best,
Catarina Saiote, PhD
Postdoctoral Fellow
Department of Neurology
Icahn School of Medicine at Mount Sinai
Phone:212-824-9320
http://icahn.mssm.edu/research/labs/inglese-laboratory
===============================
7.
Research Associate Position in Cambridge (UK)
Applicants should have a PhD degree with a strong background in
neuroimaging and neuroscience to join the Drug Addiction Research group
on 1 October 2015 for at least 2 years. The group focuses on functional
and structural brain abnormalities associated with the risk of and
resilience to drug addiction, and the effects that chronic drug exposure
has on the brain.
Proficiency with Python, Matlab, or R languages, and other neuroimaging
analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI
and DTI analyses are expected. In order to maximise the research outputs
from the data, a demonstrated interest in researching, developing,
applying and interpreting novel analysis methods is highly desirable.
Closing date 15 June 2015 Start date 01 October 2015 Website
http://www.jobs.cam.ac.uk/job/7027/
Salary
£28,695-£37,394
Category
Human Neuroimaging Research
Reference Number
RN06116
Informal enquiries may be directed to
Dr Karen Ersche via email to ke220(a)cam.ac.uk.
===================================
8
Open position: Postdoctoral Research Associate in Computational Neuroimaging
This is a two years position, renewable for longer term based upon
performance and productivity. Review of applicants will begin on August
1st, 2015, and will continue until the position is filled.
The successful candidate will contribute to research in the
Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the
Biomedical Engineering Department at New Jersey Institute of Technology.
The Lab focuses on development and implementations of analytic and
statistic models for providing quantitative biological criteria that
help diagnosis of cognitive deficits, by integrating high-dimensional
multi-modal neuroimaging, clinical and behavioral data and refined
imaging analysis and multivariate machine learning techniques. The
collaborative research team includes renowned quantitative and clinical
scientists affiliated at New Jersey Institute of Technology, Rutgers
University, Icahn School of Medicine at Mount Sinai, City University of
New York, and Albert Einstein College of Medicine. The multiple
neuroimaging modalities involved in the lab includes structural MRI,
DTI, task-based and resting-state fMRI and functional near-infrared
spectroscopy (fNIRS). The study population greatly focuses on children
with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum
Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Qualifications of candidate:
A PhD degree in biomedical engineering, electrical and computer
engineering, computer science, mathematics, statistics, computational
neurosciences or a related quantitative field
Research experiences in analyses of neuroimaging data collected
from any of the following modalities: structural MRI, DTI, fMRI, fNIRS,
and EEG/ERP
Strong programming skills in any of the following languages:
Matlab, C/C++, Python, Shell Scripts, R, SAS, and extensive knowledge on
Unix/Linux operating systems
Candidates with strong experience on machine learning, pattern
classification, regression methods, or sparse representation are
particularly encouraged to apply.
Additional qualifications include ability to work well in a
multidisciplinary, highly collaborative research team; interest in
translational research between neuroscience, computational models, and
clinical populations, and s strong record or potential for scholarly
productivity.
Contact: Please email your CV, statement of research interests and
career goals, and copies of representative publications in a single PDF
document to:
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN
Lab)
New Jersey Institute of Technology
xiaobo.li(a)njit.edu
=====================================================
9.
Open position: PhD student in Computational Neuroimaging
Application Due: October 1st, 2015
Starting date: 2016 Spring Semester
The successful candidate will contribute to research in the
Computational Neuroanatomy and Neuroinformatics Lab (CNN Lab) of the
Biomedical Engineering Department at New Jersey Institute of Technology.
The Lab focuses on development and implementations of analytic and
statistic models for providing quantitative biological criteria that
help diagnosis of cognitive deficits, by integrating high-dimensional
multi-modal neuroimaging, clinical and behavioral data and refined
imaging analysis and multivariate machine learning techniques. The
collaborative research team includes renowned quantitative and clinical
scientists affiliated at New Jersey Institute of Technology, Rutgers
University, Icahn School of Medicine at Mount Sinai, City University of
New York, and Albert Einstein College of Medicine. The multiple
neuroimaging modalities involved in the lab includes structural MRI,
DTI, task-based and resting-state fMRI and functional near-infrared
spectroscopy (fNIRS). The study population greatly focuses on children
with Attention Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum
Disorder (ASD), Mood Disoder (MD), and Traumatic Brain Injury (TBI).
Candidate Requirements: The candidate should have a Master’s degree in
biomedical engineering, electrical and computer engineering, computer
science, mathematics, physics, computational neurosciences or a related
discipline. Expertise in brain imaging and/or programming is highly
preferred.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies; to analyze complex multi-modal and longitudinal
neuroimaging and clinical data; to participate in MRI data acquisition,
manuscripts writing.
Programming Languages and Toolboxes employed in the lab: Matlab, C/C++,
Python, Shell Scripts, R, SAS, FSL, FreeSurfer, SPM, AFNI, etc.
Operating Systems employed in the lab: Linux based high performance
parallel computing system.
Contact: The candidature (Research Statement, CV, copies of the
transcript and diploma) goes to:
Dr. Xiaobo Li
Associate Professor of Biomedical Engineering
Director of the Computational Neuroanatomy and Neuroinformatics Lab (CNN
Lab)
New Jersey Institute of Technology
xiaobo.li(a)njit.edu
======================================
10.
The Charitable Foundation P&K Pühringer together with the Universities
of Zurich and Geneva is inviting
applications for Ph.D. and postdoc positions to study the practical
implications of neuroeconomic theory
and the neuroscience of learning in investment and wealth management. We
seek outstanding young
researchers as of August 2015:
• 2 Post Doctoral Fellows in Neuroeconomics with experience in
neuroimaging and/or
computational models of decision making
• 1 PhD Student in Neuroeconomics
• 1 Post Doctoral Fellow in data analysis and machine learning
Successful applicants will have joint appointments at the Universities
of Zurich or Geneva and the Asset
Management company ZZ Vermögensberatung (Schweiz) AG in Vitznau,
Switzerland. The positions will
be located at the RIC in Vitznau which offers a unique combination of a
strong financial investment
group and state-of-the-art neuroscientific methodologies as well as
close links to the cereneo
neurorehabilitation clinic which is housed under the same roof. The
latter focuses on the neural
processes underlying learning and recovery after brain lesions.
We offer:
• For postdocs, 2 year appointment renewable upon good performance
up to 5 years.
• State of the art neuroimaging, including 3T Philips Ingenia MRI,
brain stimulation lab, and more
• The opportunity to develop application-driven research at the
intersection of finance and
neuroscience
• Interdisciplinary research evironment including experts in
finance, neuroscience and neurology
as well as finance professionals
• Workplace in an attractive environment, located in one of the
most beautiful regions of
Switzerland
We expect:
• Strong background in Neuroeconomics / Neurofinance and data
analysis, respectively, with
above average track record
• Willingness for independent and interdisciplinary work in
unconventional, creative ways
• Good communication skills
• Commitment to a multi-year research project allowing development
of own research ideas
Applications should include a letter of motivation, CV, list of
publications (with key pubilcations marked)
as well as the names and addresses (including email) of two references.
Please send applications in electronic form to Kai.Lutz(a)cereneo.ch or in
paper form to cereneo AG, Dr.
Kai Lutz, Seestrasse 18, 6354 Vitznau, Switzerland. The deadline for
application is July 15, 2015.
Outstanding late applications may be considered.
=================================
11.
We are looking for a PHD Student. Please read all détails :
TEAM HOME
Thematic : Neurosciences
Team name: Institute for Memory and Alzheimer’s Disease
Team Home Manager Supervisor Harald Hampel HAMPEL Harald(PU)
Title of the research unit: : Institut du Cerveau et de la Moelle
Épinière (ICM), INSERM
Name of Director : Alexis Brice
PROPOSED TOPIC
Title :
Structural, Functional and Effective Connectivity of AD Related Neural
Networks
Project :
Applications are invited for a fully funded PhD position (3 years) at
the Pierre and Marie Curie University
(Université Pierre et Marie Curie (Paris 6), UPMC, Paris, France), at
the Doctoral School of Brain, Cognition,
Behavior (Ecole Doctorale Cerveau-Cognition-Comportement, “ED3C”).
The UPMC, part of the Sorbonne Universities, is the leading University
in France in the area of science,
technology, and medicine and among the leading universities in the
world. The scientific policy of the “ED3C” is
strongly characterized by its multidisciplinary nature and its
commitment towards both human sciences and
mathematical disciplines.
Objectives :
The PhD will be involved in the investigation of structural,
functional and effective connectivity of neural
network models related to Alzheimer’s disease (AD), such as the limbic
system (especially the hippocampal
formation, the amygdala, and the entorhinal cortex) and the basal
forebrain cholinergic system using both
Magnetic Resonance Imaging (MRI) and functional Magnetic Resonance
Imaging (fMRI) including advanced
tractography methods. The associations between brain pathology and
indices of functional and structural
connectivity are expected to help our understanding of the role of
specific neural networks and their connectivity
in brain function in healthy aging and neurodegenerative disease.
The PhD student will be involved in the study of the multi-modal
nature of specific neural networks – both
in the structural and the functional domains and how these two
components interact with each other – along with
the staging spectrum of AD (from preclinical to prodromal to
dementia). To this aim, he/she will have access to
different landmark clinical cohorts and datasets of patients including
the INSIGHT, SOCRATES, and EDSD
cohorts.
The PhD student will be involved in the exploration of the various
uses that structural and functional
neuroimaging biomarkers can play in detecting, diagnosing, assessing
treatment response and in investigating
neurodegenerative diseases with a special emphasis on AD.
The successful applicant will work under the supervision of the AXA
Research Fund and UPMC Chair,
Prof. Harald Hampel, located at the Institute for Memory and
Alzheimer’s Disease (IM2A) and the Brain & Spine
Institute (Institut du Cerveau et de la Moelle Épinière, ICM), Paris,
the leading French Institute on brain research,
centrally located within the Pitié-Salpêtrière University Hospital –
Charles Foix. The Brain & Spine Institute
(http://icm-institute.org/menu/actualites) is a widely renowned
research centre of excellence of international
dimensions. It brings together motivated scientists from various
horizons and countries in order to develop
innovative and cutting-edge research in the area of Neuroscience.
Research teams work at the Brain & Spine
Institute independently but are strictly interconnected through
cross-disciplinary research programs (both basic
and clinical), thus encouraging the amalgamation of different skills.
The multidisciplinary approach to
Neuroscience (Neurobiology, Neurochemistry, Neurogenetics,
Neuropsychology as well as structural / functional /
diffusion / molecular Neuroimaging) taken by the Brain & Spine
Institute represents a vital and dynamic advance
in research.
Background
There is growing evidence that brain activity supports complex
cognitive function that occurs within large-
scale brain networks rather than within single isolated brain regions.
For the definition of connectivity of brain
activity between brain regions, two major concepts have been applied
(Horwitz, 2003). The first concept refers to
functional connectivity, i.e., the correlation between neuronal
changes within one brain region related to another
(Friston, 1998). Functional connectivity has been applied to explore
the correlative pattern of brain activity (Bokde
et al., 2006; 2001). In contrast, effective connectivity refers to the
causal influence of one brain region’s activity on
another where that direction of influence can be explicitly modelled
(Ramnani et al., 2004). Furthermore, global
[rather than local] network properties may be characterized, using
graph theory to describe the properties of a
network’s architecture in terms of efficiency or connectedness
(Bullmore & Sporns, 2009).
In recent years, more and more centers have successfully begun
employing formal network analyses as
biomarkers of neurodegenerative diseases (Hampel et al., 2014; 2012;
Horwitz & Rowe, 2011). Actually, current
understanding of the effects of focal damage on neural networks is
rudimentary, even though such understanding
could provide greater insight into important neurological and
neurodegenerative diseases (Bokde et al., 2008;
2006). AD is characterized by early, non-linear dynamic, chronically
progressive cellular and molecular2
mechanisms (protein misfolding) leading to neurodegeneration that
translates clinically into multi-domain
cognitive and behavioral decline, psychopathological disturbances with
subsequent loss of function to perform
day-to-day tasks and ultimately total loss of independence. Findings
derived from neuroimaging studies of both
the structural and functional organization of the human brain have led
to the widely supported hypothesis that
neural networks of temporally coordinated brain activity across
different regional brain structures underpin
cognitive function. Thus, a failure of the regions of a network to
interact at a high level of coordination may
underpin progressive cognitive decline which is present in AD (Bokde
et al., 2009).
The breakdown of network function may be due to interaction failure
among the regions of a network,
which is denoted the disconnection hypothesis (Friston, 1998). In
other words, a disruption in the temporal-
spatially coordinated activity among different regions in the brain
rather than isolated changes in specific brain
regions may underlie cognitive impairment in AD. The breakdown is
thought to be due to progressive AD
pathophysiology with underlying molecular mechanisms leading
downstream to neuronal and synaptic
dysfunction and ultimately to neuronal loss. Such AD-characteristic
structural and functional alterations are
hypothesized to reflect at least partially the progressive impairment
of fiber tract connectivity and integrity (Stoub
et al., 2006; Morrison & Hof, 2002), suggesting that the disconnection
in AD is evident at both the functional and
structural level. Notably, the multi-modal nature of networks should
be examined, i.e., both the structural and
functional components that define a network. Given the substantial
changes that the brain undergoes with the
presence of AD-related pathophysiology, these alterations will
manifest themselves not only in the functional and
structural modules but also in how the changes in the two domains
interact with one another (Teipel et al.,
2007a). Neuroimaging biomarkers will need to be developed and analyzed
crossectionally and longitudinally in
terms of underlying brain networks rather than in terms of individual
regions (Horwitz & Rowe, 2011).
Overall, the current discussion on AD argues that it presents in part
a dynamically progressive structural,
functional and metabolic disconnection syndrome that may undergo
distinct stages from potentially reversible
adaptation to functional compensation to irreversible decompensation.
Studies using fMRI (Bokde et al., 2008;
2006) and electroencephalography (Jelles et al., 2008; Babiloni et
al., 2006) demonstrate that synchronicity of
brain activity is altered in AD and correlates with cognitive
deficits. Moreover, recent advances in diffusion tensor
imaging (DTI) to examine white matter microstructural changes have
made it possible to track axonal projections
across the brain, revealing substantial regional impairment in
fiber-tract integrity in AD (Teipel et al., 2011; Teipel
et al. 2007b).
This work will substantially help develop biomarkers for early
detection, prediction and progression of AD
and will support the discovery and validation of markers that map the
effects of disease modifying therapies on
the brain, ultimately providing much needed surrogate biological markers.
Key references
Horwitz B. (2003). Neuroimage 19:466–470.
Friston KJ. (1998). Schizophr Res 30:115–125.
Bokde ALW et al. (2006). Brain 129:1113–1124.
Bokde ALW et al. (2001). Neuron 30:609–617.
Ramnani N. et al. (2004). Biol Psychiatry 56:613–619.
Bullmore E & Sporns O (2009). Nat Rev Neurosci 10:186–198.
Hampel et al. (2014) Biochem Pharmacol 88:426-449.
Hampel et al. (2012) Alzheimers Dement 8:312-336.
Horwitz B & Rowe JB (2011). Prog Neurobiol 95:505-509.
Bokde ALW. et al. (2008). Psychiatr Res Neuroimaging 163:248 259.
Bokde ALW et al. (2009). Prog Neurobiol 89:125–133
Stoub TR et al. (2006). Proc Natl Acad Sci USA 103:10041–10045.
Morrison JH & Hof PR (2002). Prog Brain Res 136:467–486.
Teipel SJ et al. (2007a). Brain 130:1745–1758.
Jelles B et al. (2008). Clin Neurophysiol 119:837–841.
Babiloni et al. (2006). Brain Res Bull 69:63–73.
Teipel SJ et al. (2011) Hum Brain Mapp 32:1349-1362.
Teipel SJ et al. (2007b). Neuroimage 34:985–995.
Requirements
The ideal candidate is expected to have a robust academic and science
background. A preference will be
given to students with profound knowledge in neuroscience,
neuroimaging data analysis, applied mathematics,
biostatistics, or computer science at the master’s level. Candidates
demonstrating competencies on structural
and functional MRI methods, knowledge and experience with MRI-related
data analysis packages (SPM, Matlab,
Freesurfer, AFNI), statistical softwares (e.g., SPSS or R), and
programming skills (e.g.,
MATLAB, Python, C++)
will have a strong advantage. The candidate has to be fluent both in
written and spoken English. The position is
expected to begin in October 2015. Applications should include a full
Curriculum Vitae and a Cover Letter
detailing the applicant’s interest and motivation for this position.
Two letters of academic reference, assessing the
applicant’s skills, research and learning potential, ability to team
work and personality, should be sent
independently by the referees. Applications together with all
documents, including reference letters, should be
submitted electronically to:
e.mirassou-ihu(a)icm-institute.org with reference to “PhD position" in the
E-mail header.
Applications must be received within the 30th of June 2015.
Best,
--
Elodie Mirassou
Assistante du Professeur Harald Hampel, MD, PhD, MA, MSc
AXA Research Fund & UPMC Chair
Sorbonne Universities
Université Pierre et Marie Curie - Paris 6
Institut de la Mémoire et de la Maladie d’Alzheimer &
Institut du Cerveau et de la Moelle épinière (ICM)
Département de Neurologie
Pavillon François Lhermitte
Hôpital Pitié Salpêtrière
47 Boulevard de l’hôpital
75651 Paris CEDEX 13
Phone: + 33 (0) 1 42 16 75 21 (office)
Email: e.mirassou-ihu(a)icm-institute.org
--
Elodie Mirassou
Assistante du Professeur Harald Hampel, MD, PhD, MA, MSc
AXA Research Fund & UPMC Chair
Sorbonne Universities
Université Pierre et Marie Curie - Paris 6
Institut de la Mémoire et de la Maladie d’Alzheimer &
Institut du Cerveau et de la Moelle épinière (ICM)
Département de Neurologie
Pavillon François Lhermitte
Hôpital Pitié Salpêtrière
47 Boulevard de l’hôpital
75651 Paris CEDEX 13
Phone: + 33 (0) 1 42 16 75 21 (office)
Mobile: + 33 (0) 6 95 51 63 55
Email: e.mirassou-ihu(a)icm-institute.org
Email : mirassou.elodie(a)gmail.com
===========================================
12.
Research /Postdoctoral position
Full-Time Regular Position (1.0 FTE)
Start Date: July 1 (negotiable)- Located in Eugene, Oregon
Description of Project: Relation of Consummatory and Anticipatory Food
Reward to Obesity (Project Milkshake) and An fMRI Test of the Dynamic
Vulnerability Model of Obesity: Risk Factor Plasticity (The Chocolate Study)
Purpose of Position: The Research /Postdoc will participate as an active
partner in conceptualizing, designing, and planning neuroimaging
research projects. Participate in ongoing decisions regarding design,
data analysis, data collection, and methodology. Conceptualize and
perform pre-processing and analysis of fMRI data. Assist with running
fMRI scans. Act as co-author or may take a lead role on research
publications. Prepare and present findings at conferences. Suggest,
plan, and implement pilot studies. Collaborate with researchers from
other institutions.
Position Requirements:
I Knowledge, skills and abilities: Demonstrated knowledge of
procedures and protocols for conducting all aspects of fMRI research
projects. Must have a thorough knowledge of the extant literature in
fMRI research. Demonstrated ability to communicate effectively in
writing, as shown by having published articles in professional journals.
Ability to supervise the work of other research staff. Excellent oral
and written communication skills, including public speaking. Ability to
work effectively with diverse people of racial, cultural and ethnic
backgrounds valued. Must have good interpersonal skills. Demonstrated
grant writing ability desirable. Must be able to work flexible hours
and/or increase hours during critical phases of a project.
II Experience and training: Ph.D. in social or behavioral
science with four (4) years of increasingly responsible research
experience with neuroimaging and neuroimaging analysis, or any
equivalent combination of education and experience which provide the
applicant with the knowledge, skill, and ability to perform the job.
Experience in the preparation of manuscripts for publication. Working
knowledge of statistical procedures and program packages to perform fMRI
preprocessing and data analysis. Experience working with individuals
from diverse cultural, ethnic and racial backgrounds valued.
III Personal traits and characteristics: Must be able to work
effectively with others, value working in a collaborative environment.
Successful candidates will be reliable, able to meet project
obligations, and have good self-management skills that enable them to
accomplish activities within project time constraints. Must be able to
interact comfortably with individuals from different socioeconomic
classes and cultures. Must be discreet and willing to adhere to the
principals of confidentiality governing research work and the ORI
computer acceptable use policy.
Apply at http://ori.applicantpool.com/jobs/
Visit our website at http://www.ori.org/
============================================
Dear Users
This Thursday (from 4 pm in B020) Dr. Rebecca Jackson, University of
Manchester, will give a Connectivity Club talk on *"The use of Novel and
Convergent Methodologies to assess Semantic and Default Mode Networks"*.
http://www.manchester.ac.uk/research/rebecca.jackson/personaldetails
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
hD and postdoc positions are available at the Queensland Brain
Institute, University of Queensland, Brisbane, Australia. The research
focus is to understand the functional connectivity using rodent
(especially transgenic mouse) models of diseases with structural,
functional and molecular imaging. Specifically we will examine genetic
mutation dependent change of the connectome and its relationship with
neurotransmission, behaviour and other disease phenotypes. For detail
about the position and application please see:
http://jobs.uq.edu.au/caw/en/job/497432/postdoctoral-research-fellowresearc…
=========================
2.
Two 36 months PhD positions are available in the Cognitive Psychology &
Neuroscience Group (http://webpsy.uni-graz.at/cognitive/) at the
Department of Psychology, University of Graz.
The positions are available immediately (as of 28 May 2015).
The positions are part of the project “Attention and Memory in Overt
Visual Search: Investigating Online Processing of Targets and
Distractors with Fixation-Related Potentials and Fixation Based
Event-Related fMRI Analysis” (PIs C. Körner & A. Ischebeck) funded by
the Austrian Science Fund (FWF).
The project uses combinations of eye tracking and EEG/ERP or fMRI to
investigate the neural basis of target and distractor processing in
visual search with eye movements.
The job requirements are research in the field of Experimental
Psychology and Cognitive Neuroscience as well as publishing in
peer-reviewed scientific journals and presenting results at
international conferences supported by the PIs.
We seek applicants with a master’s degree in Cognitive Neuroscience,
(Experimental) Psychology, or a related field. A solid knowledge in
Experimental Psychology and Cognitive Neuroscience is desirable, as well
as methodological knowledge in the field of either EEG, fMRI or eye
tracking. Strong computer programming and statistical skills are
advantageous.
Salary will be in accordance with FWF regulations
(http://www.fwf.ac.at/en/research-funding/personnel-costs/; gross income
€ 2024.90 p.m.).
Please apply by sending a CV, a short description of your Master’s
Thesis and relevant background, and contact details of a referee to
Christof Körner (christof.koerner [at] uni-graz.at). Direct inquiries
may also be sent to this address. Review of applications will continue
until the positions are filled.
Dr. Christof Körner
Arbeitsbereich Allgemeine Psychologie
Institut für Psychologie, Karl-Franzens-Universität Graz
Universitätsplatz 2, A-8010 Graz, Austria
Phone + 43 - 316 - 380 - 5108
=================================
3.
Applications are invited for a two-year Marie-Curie Fellowship for a
post-doctoral scientist position at the BIND - Behavioral Imaging and
Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara
(Italy). The position is funded by the European project ANDREA - Active
Nanocoated DRy-electrode for Eeg Applications
(http://www.andreaproject.eu;
http://cordis.europa.eu/project/rcn/109927_en.html), whose main
objective is to develop a novel dry electrode EEG system with adjustable
cap network provided with an automated sensor positioning mechanism,
active pre-amplification and a software toolbox for automatic artifacts
removal.
The successful applicant will mainly contribute to the development and
implementation of novel analytical methods for the processing of
electroencephalographic (EEG) signals recorded with prototype EEG
systems developed in the ANDREA project. The developed analytical
methods will be validated within the framework of multimodal and
interdisciplinary studies on the neural correlates of human behavior in
clinical and non-clinical populations.
Candidates with an excellent academic record in computational
neuroscience (or biomedical engineering, or applied physics, or
similar), good programming abilities and a strong background in human
EEG data analysis are welcome to apply. Knowledge of, and/or experience
with, physiological recordings would be a plus. Candidates must be
fluent in spoken and written English, and have good communication and
team work skills. The position is funded for two years, beginning in
Fall 2015. Gross yearly salary will be € 62.361,00 plus €. 11.832,60 for
mobility.
Candidates must fulfill the eligibility criteria foreseen for this
position by the EC: they must have more than 4 and less than 10 years of
research experience, and they must have not resided or having carried
out study or research activities in Italy for a total of more than 12
months during the 3 years immediately preceding the beginning of this
position.
The successful candidate will benefit from the interdisciplinary and
intersectoral environment of the ANDREA Project, as well as from the
state-of-the-art neuroimaging facilities available.
Further information regarding this position and the application
procedures can be obtained by contacting Prof. Silvia Comani, Head of
the BIND Center and Coordinator of the ANDREA Project (comani(a)unich.it).
Deadline for applications: July 13, 2015.
===========================
4.
Postdoctoral Position in the new Motor Control Group at Western
University (PI: Jörn Diedrichsen).
The Motor Control Group at Western University is recruiting 1-2 new
full-time postdoctoral fellows. The laboratory investigates motor skill
learning and motor coordination in the human brain. We use a combination
of experimental and computational methods, ranging from functional
magnetic resonance imaging (with focus on multivariate analysis
techniques), behavioral experiments, neuro-stimulation, and
computational modelling. Applicants with an interest in either basic
neuroscience research of motor control, method development for
functional imaging, and research in clinical applications of motor
control are encouraged to apply. For more information about the lab,
see: http://www.icn.ucl.ac.uk/motorcontrol/.
The laboratory is currently in the process of moving from University
College London to the Brain and Mind Institute Western University
(www.uwo.ca/bmi ), where we will collaborate tightly with the research
groups of Dr. Andrew Pruszynski and Prof. Paul Gribble. Our facilities
at Western include a full range of high and ultra-high field,
research-only, MRI scanners (3T, 7T, and 9.4T), a range of robotic and
recording devices for the study of arm and hand function, and access to
a large neurological patient population in affiliated teaching
hospitals. Cognitive Neuroscience is a key area of research strength at
Western University with more than 25 Principal Investigators and nearly
200 trainees in the Brain and Mind Institute.
A Ph.D. degree in neuroscience, psychology, computer science,
engineering, kinesiology, or related fields is required. Annual salary
will be $42,000 - $46,000 CND, depending on the level of experience.
Initial appointments will be for a period of 2 years, with a possibility
for renewal. Further inquiries and applications including a CV and a
statement of research interest should be sent by email to:
j.diedrichsen(a)ucl.ac.uk. The review of applications will begin on July
15st and continue until the positions are filled.
=============================
5.
A computer scientist position is available with the Neuroimaging
Research for Veterans Center at the Veterans Administration Hospital in
Jamaica Plain, Massachusetts
SALARY RANGE: $64,020.00 to $83,227.00 / Per Year
OPEN PERIOD: Monday, June 8, 2015 to Friday, June 12, 2015
SERIES & GRADE: GS-1550-11
POSITION INFORMATION: Full Time - Term NTE 3 years
DUTY LOCATIONS: 1 vacancy in the following location:
Boston, MA
NOTE: This is a TERM appointment (not-to-exceed 3 years). Term
appointments are non-status, nonpermanent appointments of limited
duration (more than 1 year but not more than 4). Term employees are
eligible to earn leave and generally have the same benefits as permanent
employees including health and life insurance, within-grade increases
and Federal Employees Retirement System and Thrift Savings Plan
coverage. Term appointments may be extended without further competition
(up to the 4 year maximum). The appointment to a Term position does not
confer eligibility for promotion or reassignment to other positions or
the ability to be non-competitively converted to permanent employment.
Employee will be assigned to the Neuroimaging Research For Veterans
Center (NeRVe), VA Boston Healthcare System, Jamaica Plain, MA,
performing life cycle analysis and program management for data
management functions involved in collecting, storing, analyzing, and
sharing clinical and research neuroimaging data through a web-based
system that includes Statistical Parametric Mapping (SPM), Freesurfer,
and/or FMRB (Functional Magnetic Resonance of the Brain) using a variety
of languages such as: C#, SQL, XML, VBSCRIPT, JAVASCRIPT, XSLT, XQUERY,
and Matlab. Duties include, but may not be limited to the following:
Position requires extensive knowledge of Unix/Linux operating systems;
and involves working with researchers to determine their needs; performs
analyses of the research studies and clinical trial protocols to perform
systems analyses for determining the data requirements, design
application and data storage systems and technologies, and complex
issues of data migration/work flow processing that are appropriate for
the storage methods.
Conducts hardware and software analysis; performs cost factors analysis;
analyzes and determines vendor options; and tests vendors' products to
determine their operational effectiveness and efficiency for the NeRVe
requirements.
Performs analysis of clinical trials electric data capture requirements
for screening, randomization, kit assignment, serious adverse events,
data collection, and reporting.
Performs mapping analyses needed to determine data assurance and
security requirements for data migration; determines data backup systems
and protocols needed to support web-based applications and the data
warehouse; and evaluates the researchers' clinical trial data reporting
requirements and determines the actions to implement required changes,
while concurrently ensuring data integrity and information security
assurance throughout the enterprise.
Works closely with Information Resource Management (IRM) personnel to
accomplish systems and program administrative compliance in conjunction
with IRM requirements and security protocols; and educates and trains
new users of the system and helps to troubleshoot and resolve system
problems for all users.
Qualifications:
BASIC EDUCATION REQUIREMENT –Applicants must possess a bachelor's degree
(or higher) from an accredited college or university in computer science
or a bachelor's degree that included 30 semester hours in a combination
of mathematics, statistics, and computer science. At least 15 of the 30
semester hours must have included any combination of statistics and
mathematics that included differential and integral calculus.
(TRANSCRIPT REQUIRED)
SPECIALIZED EXPERIENCE: In addition to meeting the basic education
requirement above, applicants must have at least one (1) year of
specialized experience that equipped them with the knowledge, skill, and
ability to successfully perform the duties of this position, and that is
typically in or related to the work of this position. To be creditable,
this specialized experience must have been equivalent to at least the
GS-9 grade level in the Federal service. Specialized experience
includes: professional positions which primarily involve the application
of, or research into, computer science methods and techniques to store,
manipulate, transform or present information by means of computer
systems. The primary requirements of the work are (a) professional
competence in applying the theoretical foundations of computer science,
including computer system architecture and system software organization,
the representation and transformation of information structures, and the
theoretical models for such representations and transformations; (b)
specialized knowledge of the design characteristics, limitations, and
potential applications of systems having the ability to transform
information, and of broad areas of applications of computing which have
common structures, processes, and techniques; and (c) knowledge of
relevant mathematical and statistical sciences. Knowledge of health
services research; training researchers and clinicians; and working with
Unix/Linux operating systems is also required.
OR
SUBSTITUTION OF EDUCATION FOR EXPERIENCE (TRANSCRIPT REQUIRED): Three
(3) years of progressively higher level graduate education leading to a
Ph.D. degree or Ph.D. or equivalent doctoral degree that provided the
knowledge, skills, and abilities necessary to do the work of this
position is qualifying at the GS-11 level.
OR
COMBINING EDUCATION AND EXPERIENCE (TRANSCRIPT REQUIRED) - Combination
of successfully completed graduate education and experience may be used
to meet total qualification requirements.
You can apply for the position through USA Jobs here-
https://www.usajobs.gov/GetJob/ViewDetails/405836700
==================================
6.
Research Associate Position in Cambridge (UK)
Applicants should have a PhD degree with a strong background in
neuroimaging and neuroscience to join the Drug Addiction Research group
on 1 October 2015 for at least 2 years. The group focuses on functional
and structural brain abnormalities associated with the risk of and
resilience to drug addiction, and the effects that chronic drug exposure
has on the brain.
Proficiency with Python, Matlab, or R languages, and other neuroimaging
analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI
and DTI analyses are expected. In order to maximise the research outputs
from the data, a demonstrated interest in researching, developing,
applying and interpreting novel analysis methods is highly desirable.
Salary
£28,695-£37,394
Category
Human Neuroimaging Research
Reference Number
RN06116
Informal enquiries may be directed to Dr Karen Ersche via email to
ke220(a)cam.ac.uk.
====================================
7.
Postdoctoral studies in advanced functional magnetic resonance imaging
analysis (scholarship; extended application deadline) .
We are seeking a highly talented and enthusiastic researcher with a PhD
in neuroimaging awarded within the past three years to work on projects
in which advanced functional magnetic resonance imaging (fMRI) analysis
methods are applied to the problem of how we perceive our own body in
space. The research will be conducted at the Brain, Body and Self
Laboratory at the Department of Neuroscience (www.ehrssonlab.se). This
center has widespread expertise in fMRI, and the Karolinska Institutet
has two MR-centers with state-of-the-art 3T MR scanners (GE and Siemens,
respectively).
The ideal candidate will have expertise in the acquisition and analysis
of fMRI data, as well as excellent programming skills (preferably
including MatLab and C++). Expertise in multivoxel pattern analysis,
voxel-based receptive field mapping or dynamic causal modeling would be
an advantage, as would an undergraduate education in engineering (or a
related area). The candidate is expected to work on projects in which
advanced fMRI methods are applied to questions relating to how
multisensory signals from the body are integrated at the levels of
cortical and subcortical structures and/or the decoding of body
illusions; however, purely technical projects involving method
development are also possible. Good social skills are important as the
candidate is expected to actively collaborate with other members of the
laboratory, in addition to running his or her own project. Applicants
should be able to demonstrate a consistently good academic record,
including publications in international journals.
For full and and details about the application procedure visit:
https://ki.mynetworkglobal.com/en/what:job/jobID:67803/where:4/
Application deadline: June 30 (extended)
Henrik Ehrsson, M.D., Ph.D.
Professor
Karolinska Institutet
Department of Neuroscience
Brain, Body and Self Laboratory
Adress: Retzius väg 8, SE-17177 Stockholm, Sweden
Phone: +46-(0)852487231
Fax: +46-(0)852487126
Email: Henrik.Ehrsson(a)ki.se
Web: www.ehrssonlab.se
==============================
8.
We would greatly appreciate your help with disseminating the following
PhD opportunity to potential candidates, e.g. suitable Msc students.
It is a fully funded (fees and stipend) cotutelle (50/50) studentship
between Aston and Macquarie and the student will spend 1.5 years at each
site, starting at Aston and with an optional 4th write-up year at Aston
(fees covered for 4 years, stipend for 3 years). Please note that this
studentship is only open to UK/EU and AUS/NZL students but not to
students from other countries. The project will use MEG to investigate
local and global connectivity in autism.
Further information is available here:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=64012
Many thanks for your help!
Klaus
Professor Klaus Kessler
Aston Brain Centre
School of Life and Health Sciences
Aston University
Aston Triangle
Birmingham, B4 7ET
Phone: +44 (0)121 204 3187
You are cordially invited to the first stand alone symposium of the EMEGS.
The title of the symposium is "*Investigation of resting state
functional connectivity with MEG: **From theory to clinical applications."*
This event will be a unique occasion to be introduced to the theoretical
aspects of MEG resting state functional connectivity and to discover how
recent research and discoveries in this field will lead to potential
future MEG clinical applications.
The symposium will be held at the Hotel Bedford in the centre of
Brussels on Friday 23rd October 2015.
See the attached invitation for more information.
*
*
Attendance will be free
Final program will follow.
*
*
Please, share this invitation with your collaborators who might be
interested by the event.
*
*
We are very much looking forward to welcoming you in Brussels on the
23rd October.
Best regards,
Xavier
*
*
**
**
Dear Users
Rachel Woodall's project presentation, which was scheduled for this
afternoon, has been postponed.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This Thursday (from 4 pm in B020) Rachel Woodall will give an internal
project proposal presentation on "*Assessing visual cortex in candidates
for retinal prothetics*".
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
**
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
PHD-POSITIONS IN COMPUTATIONAL NEUROSCIENCE/BIOLOGY IN OSLO, NORWAY
Several PhD positions are available in the SUURPh (SIMULA-UiO-UCSD)
collaboration: https://www.simula.no/education/suurph-collaboration
PhD-candidates will expectedly spend about 3 years in Oslo (UiO or
SIMULA) and about year at UCSD.
Possible PhD-projects include: modeling of interaction between ion
channels and psychoactive drugs, modeling of memory processing in
hippocampus and entorhinal cortex, modeling of liquid flow in the brain,
biophysical modeling of EEG and MEG signals, biomechanical modeling of
the human brain. For more info on projects see:
https://www.simula.no/suurph-projects
Students interested in becoming a SUURPh fellow should consult the
Applicant's page: https://www.simula.no/students-page.
Here you will find all relevant information and instructions to submit
your application.
**********************************************
Professor Gaute T. Einevoll
Department of Mathematical Sciences and Technology
Norwegian University of Life Sciences, 1432 Aas, Norway;
Department of Physics, University of Oslo, Oslo, Norway
Ph. +47-64965433, Mobile: +47-95124536
email: Gaute.Einevoll(a)nmbu.no, web: compneuro.umb.no, cinpla.org
====================================
2.
Prof Chris Plack and Dr Michael Stone are offering a 3-year fixed term
MRC-funded full time job in the Audiology & Deafness Research Group at
the University of Manchester, UK. Start date is nominally August 1st 2015.
The topic under investigation concerns the diagnosis of, and
implications of, the progression of noise-induced hearing loss in humans.
The advert and further details are listed at :
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=9850
sincerely
----------------------------------------------------------------------------------------------
Dr Michael Stone, Senior Research Fellow in Audiology / Hearing Sciences
A3.16, Ellen Wilkinson Building, University of Manchester, Manchester,
M13 9PL, UK
Tel: +44 161 275 8563, Fax: +44 161 275 3373, www.psych-sci.manchester.ac.uk
===============================
3.
The Rehabilitation Neuroscience Laboratory (RNL) is recruiting a
full-time postdoctoral fellow to join us as early as September, 2015.
This individual will join a highly collaborative and collegial team of
scientists and trainees from diverse backgrounds who are working to
understand the consequences of upper extremity injury, amputation, and
hand replantation/transplantation on human brain organization and daily
living. Requirements include a relevant Ph.D. and/or M.D. degree(s),
and a high level of intrinsic motivation. The successful individual will
have the ability to work independently and collaboratively, and possess
solid computational and computer skills.
Prior experience with EEG is highly desirable for this position.
Likewise, expertise with one or more of the following is a plus:
electromyography, transcranial magnetic stimulation, functional and
structural magnetic resonance imaging.
The RNL is directed by Dr. Scott H. Frey and will relocate to Washington
University School of Medicine in July, 2015. We will have strong
connections with neuro-, behavioral- and clinician-scientists throughout
the university system. The RNL provides a challenging and supportive
environment in which to gain additional training, and has a history of
success in preparing postdoctoral scientists for independent research
careers. Interested individuals are welcome to contact Dr. Frey
directly for additional information at: freys(a)missouri.edu
=================================
4.
Postdoctoral Position in
Neuromuscular Rehabilitation and Neuroimaging
Description:
Applications are now being accepted for a Postdoctoral Fellowship
position at the Human Performance and Engineering Lab at Kessler
Foundation in collaboration with New Jersey Medical School of Rutgers
University. The 2-3 year program prepares biomedical scientists,
including engineers (e.g. biomedical, electrical, rehabilitation),
neuroscientists, kinesiologists, and those in related fields, for a
career in rehabilitation research within the specialty area of
neuromuscular rehabilitation. The successful candidate will work
principally on a 5 year NIH funded research study aimed at investigating
the neurophysiological effect of mental and physical training on
mitigating cancer- and/or cancer treatment-related weakness. The
successful applicant will also be expected to develop his/her own
mentored research project as well as have the opportunity to work on
other projects in neuromuscular rehabilitation in diverse patient
populations including traumatic brain injury, multiple sclerosis, spinal
cord injury and stroke. He/she will work on various aspects of research
projects from inception (e.g., study formulation, grant-writing, etc.),
through dissemination (conference presentation and manuscript
publication). Opportunities of collaborating with clinicians on existing
or future clinical research are also available. All fellows participate
in an extensive training curriculum and didactic offerings.
Multidisciplinary mentored training opportunities are individually
tailored to achieve specific goals considering each fellow’s prior
background and interests.
Principal Investigator: Dr. Guang Yue, Ph.D.
Qualifications:
· Applicants with specific interests and/or experience in the
following areas: Neuromuscular rehabilitation; biomedical signal
processing (e.g., EEG, TMS and EMG); brain and muscle electrophysiology;
functional and structural MRI.
· Qualified candidates must have an earned doctorate in biomedical
engineering, neuroscience, kinesiology or a related field with a
background in signal processing or/and image processing (EEG, MRI,
fMRI). Working knowledge of at least one programming language is mandatory.
· Preferences will be given to candidates with expertise in Matlab
programming as well as image processing software such as EEGLAB, FSL, AFNI.
· Strong candidates will have prior experience in performing
research studies in human subjects, as well as some history of
publication and presentation of original research.
· Additional desirable skills and experience include: experience
with EEG/EMG data collection and analysis, biomedical instrumentation,
ability to independently develop data processing/analysis methods,
knowledge of statistical data analysis, and excellent written
communication skills.
Kessler Foundation and the Fellowship program
The Kessler Foundation Research Center is a division of Kessler
Foundation, a public charity that advances its mission of improving the
lives of people with disabilities through research and grant-making
programs. The Kessler Foundation Research Center is affiliated with the
renowned Kessler Institute for Rehabilitation in West Orange, New Jersey
and enjoys close collaborations with partners at the New Jersey
Institute of Technology, Rutgers University, Seton Hall University, New
York University, and the University of Delaware. Kessler Foundation is
one of the few rehabilitation institutions in the United States who has
a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco
Ortenzio Neuroimaging Center. This offers unique research opportunities
and training in neuroimaging. Applicants are encouraged to visit the
Foundation website (http://www.kesslerfoundation.org/research/) to learn
about the missions, activities, and resources and its laboratories, in
particular the Human Performance and Engineering Lab.
Administration of the ARRT fellowships occurs under the Department of
Physical Medicine and Rehabilitation at the New Jersey Medical School of
Rutgers University in Newark. As such, fellows enjoy the benefits and
academic resources available to all post-doctoral fellows at the Medical
School. Fellows may also be recommended for an academic appointment at
the rank of Instructor.
How to apply
To apply, please send your (1) CV, (2) a cover letter summarizing
relevant research expertise, experience and interest to Dr. Allexandre
at dallexandre(a)kesslerfoundation.org. Please include the reference
number “HPEL01-FSL” in your application.
APPLICATION DEADLINE: 6/30/2015 or until filled
We are equal opportunity employers.
==========================================
5.
Urgent : Opening of an MRI Research engineer position
The Marseilles' fMRI Centre (http://irmfmrs.free.fr), a neuroimaging
platform belonging to the Institut des Neurosciences de La Timone
(http://www.int.univ-amu.fr/), is opening an MRI Research Engineer
position. This opportunity has been made possible due to the acquisition
of a new ultra-high gradient 3T MRI scanner and its installation in the
European Centre for Research in Medical Imaging (CERIMED), a new
platform for multi-modality, multi-species in-vivo imaging. The
engineer’s main responsibilities will be to help with the installation
of the new 3T MRI scanner (Siemens Prisma, installation planned for
November 2015) and to set-up, implement and validate the most recent MRI
acquisition methods, which will underpin competitive research projects
on structural and functional neuro-imaging protocols.
The successful candidate will have a PhD and/or an Engineering diploma:
a biomedical physicist or an engineer specialised in MRI and clinical
imaging. See the detailed profile of the position at the end of this email.
Recruitment date: 1st of October 2015
Contract duration: 12 months, renewable.
Net salary: 23.160 – 26.800 Euros / year, depending on experience (plus
full social benefits)
Application closing date: June, 30th 2015
The application should contain a letter of motivation, a complete
Curriculum Vitae and references.
For administrative purposes, the CV should also specify details about
previous contracts : employers, start and end dates, type of contract
(temporary / permanent, public / private).
Information requests and applications should be addressed to :
Jean-Luc.Anton(a)univ-amu.fr and Pascal.Belin(a)univ-amu.fr
--
Jean-Luc Anton
________________________________________________________
Centre de recherche en IRM fonctionnelle cérébrale (Marseille)
Email : Jean-Luc.Anton(a)univ-amu.fr
Tel. : (33) (0)4 91 38 47 56
Web : http://irmfmrs.free.fr
________________________________________________________
JOB DESCRIPTION : MRI Research engineer
Laboratory
Code unit: UMR7289
Name of Unit: Centre IRMf, Institut de Neurosciences de la Timone
UMR7289 CNRS & AMU
Director: Guillaume MASSON
Address: Faculté de Médecine de la Timone 27 Bd Jean Moulin 13005 Marseille
Localisation of position: Marseille, FRANCE
Responsibilities
The MRI Research Engineer will be responsible for the set-up,
implementation and validation of MRI acquisition methods necessary for
the realisation of structural (high-resolution anatomical, diffusion)
and functional neuro-imaging protocols. He/she is responsible for the
proper functioning of the 3T MR system in liaison with the manufacturer.
He/she will contribute to the set-up of the processing pipeline included
in the services offered by the fMRI Centre.
Duties
* Perform initial tests, reception and set-up of the new 3T MR system in
close relationship with the manufacturer to enable an efficient restart
and fully functional follow-up.
* Examine the needs of researchers in integrative and cognitive
neurosciences relative to their research objectives. Evaluate and
propose the most appropriate imaging techniques and methods.
* Organise the choice, set-up, implementation and validation of MR
acquisition methods in human and non-human primates, while encouraging
scientific collaboration with the manufacturer, partner laboratories and
neuroimaging platform networks.
* Pilot, interpret and validate measures for their scientific exploitation.
* Supervise R&D research work in MR physics and its application to
neuroimaging.
* Keep up-to-date with technical advances in MR physics, its
applications, acquisition protocols and advanced neuroimaging analysis
methods.
* Present, distribute results.
* Supervise safe practice procedures. Study risks associated with
hardware: train users on risks associated with MRI.
* Contribute to the exploitation of scientific data by setting up tools
for organizing data processing.
* Supervision: yes
* Project leading: yes
Skills
Ph.D. and/or Engineering diploma: a biomedical physicist or an engineer
specialised in MRI and clinical imaging.
The applicant will have a good knowledge of:
* MR Physics :
- Acquisition sequences
- Reconstruction algorithms
- MR hardware (RF-coils, gradient system)
* Analysis and validation of data quality
* Processing and analysis of cerebral MR images
* Software development tools
* Office software tools
* Scientific and technical English
Abilities
* To understand cognitive and integrative neuroscience protocols in
humans and non-human primates
* To propose pertinent acquisition solutions adapted to the capabilities
of the 3T MR system, which emphasize collaborative links with the
manufacturer and the Centre’s partner laboratories.
* To work in a multidisciplinary environment at the interface of a
variety of scientific and technological domains
Context and working environment
The Marseilles' fMRI Centre (http://irmfmrs.free.fr/) is a neuroimaging
platform belonging to the Institut des Neurosciences de La Timone
(http://www.int.univ-amu.fr/), affiliated to the CNRS and Aix-Marseille
University. It provides neuroscientists, psychologists and clinicians
with magnetic resonance imaging (MRI) services and is involved in
clinical, fundamental and methodological research as well as technical
development through collaboration with local, national and international
research groups, and has strong involvement in training and teaching.
The fMRI Centre operates a 3 Tesla MR system fully dedicated to
neuroscience and psychology research in human and non-human primates,
equipped with high-end stimulation and recording systems. The Centre is
run by two CNRS Research Engineers (Drs Jean-Luc Anton and Bruno
Nazarian) and a Scientific Director from Aix-Marseille University (Dr
Pascal Belin).
The fMRI Centre is currently engaged in an ambitious new development,
with the ongoing purchase of the latest-generation, research-oriented 3T
scanner equipped with ultra-high gradients and state-of-the art RF
systems, and a move to the recently inaugurated European Centre for
Research in Medical Imaging (CERIMED, http://cerimed-web.eu/), a new
platform for multi-modality, multi-species in-vivo imaging on the La
Timone campus, where the new scanner (Siemens Prisma) will be installed
in November 2015. These developments are actively supported by
Aix-Marseille University, CNRS and the France-Life Imaging infrastructure.
In the context of these developments, the fMRI Centre is recruiting an
MRI Research Engineer, who will have three tasks. First he/she will
participate in the reception and set-up of the new scanner, in liaison
with the manufacturer, and will gauge technical requests from scientific
users to ensure the most efficient restart and development of scanning
activities.
Second, in order to best exploit the strong potential of the
latest-generation 3T system, the engineer will implement, parametrize,
test and validate the most recent acquisition sequences (multi-band EPI,
local quantification of micro-structures, …) to enable and contribute to
competitive scientific projects involving, e.g., high-resolution EPI and
DTI, imaging in non-human primates, and foetuses. The engineer will play
a leading role in the scientific partnership with the manufacturer, with
partner laboratories (CRMBM, Neurospin, Maastricht, MGH, ...) and with
the national and international networks of neuroimaging platforms
(CENIR, CERMEP, ...).
Third, in interaction with the other engineers of the Centre and
CERIMED, the engineer will contribute to the development of the services
offered by the Centre in terms of data organization (set-up of
databases) and data pre/post-processing (set-up of processing tool
pipelines).
===============================
6.
Applications are invited for a two-year Marie-Curie Fellowship for a
post-doctoral scientist position at the BIND - Behavioral Imaging and
Neural Dynamics Center, University "G. d'Annunzio" of Chieti-Pescara
(Italy). The position is funded by the European project ANDREA - Active
Nanocoated DRy-electrode for Eeg Applications
(http://www.andreaproject.eu;
http://cordis.europa.eu/project/rcn/109927_en.html), whose main
objective is to develop a novel dry electrode EEG system with adjustable
cap network provided with an automated sensor positioning mechanism,
active pre-amplification and a software toolbox for automatic artifacts
removal.
The successful applicant will mainly contribute to the development and
implementation of novel analytical methods for the processing of
electroencephalographic (EEG) signals recorded with prototype EEG
systems developed in the ANDREA project. The developed analytical
methods will be validated within the framework of multimodal and
interdisciplinary studies on the neural correlates of human behavior in
clinical and non-clinical populations.
Candidates with an excellent academic record in computational
neuroscience (or biomedical engineering, or applied physics, or
similar), good programming abilities and a strong background in human
EEG data analysis are welcome to apply. Knowledge of, and/or experience
with, physiological recordings would be a plus. Candidates must be
fluent in spoken and written English, and have good communication and
team work skills. The position is funded for two years, beginning in
Fall 2015. Gross yearly salary will be € 62.361,00 plus €. 11.832,60 for
mobility.
Candidates must fulfill the eligibility criteria foreseen for this
position by the EC: they must have more than 4 and less than 10 years of
research experience, and they must have not resided or having carried
out study or research activities in Italy for a total of more than 12
months during the 3 years immediately preceding the beginning of this
position.
The successful candidate will benefit from the interdisciplinary and
intersectoral environment of the ANDREA Project, as well as from the
state-of-the-art neuroimaging facilities available.
Further information regarding this position and the application
procedures can be obtained by contacting Prof. Silvia Comani, Head of
the BIND Center and Coordinator of the ANDREA Project (comani(a)unich.it).
Deadline for applications: July 13, 2015.
=======================
7.
Research Associate Position in Cambridge (UK)
Applicants should have a PhD degree with a strong background in
neuroimaging and neuroscience to join the Drug Addiction Research group
on 1 October 2015 for at least 2 years. The group focuses on functional
and structural brain abnormalities associated with the risk of and
resilience to drug addiction, and the effects that chronic drug exposure
has on the brain.
Proficiency with Python, Matlab, or R languages, and other neuroimaging
analysis software (e.g. FSL, AFNI, SPM, etc.) and experience with fMRI
and DTI analyses are expected. In order to maximise the research outputs
from the data, a demonstrated interest in researching, developing,
applying and interpreting novel analysis methods is highly desirable.
Closing date 15 June 2015 Start date 01 October 2015 Website
http://www.jobs.cam.ac.uk/job/7027/
Salary
£28,695-£37,394
Category
Human Neuroimaging Research
Reference Number
RN06116
Informal enquiries may be directed to
Dr Karen Ersche via email to ke220(a)cam.ac.uk.
===============================
8.
Open position: PhD in multimodal imaging of the vulnerability to develop
schizophrenia
OFFICE MEDICO-PEDAGOGIQUE, Laboratoire de neurosciences et neuroimagerie
en psychiatrie de l’enfant et de l’adolescent
Starting date: October 1st 2015
Working environment: In the context of a longitudinal study started 10
years ago, we perform a multidisciplinary evaluation of patients with
the 22q11.2 deletion syndrome, a neurogenetic condition that confers a
high risk of developing schizophrenia. Our protocol includes MRI
acquisitions of structural, functional and diffusion images and their
analysis with gold-standard neuroimaging tools. By investigating
morphological and connectivity alterations associated to the
microdeletion and to the onset of psychotic symptoms, we aim at
identifying potential biomarkers for the development of schizophrenia.
Tasks of the PhD student: To work in collaboration with clinical and
engineering departments for the development and application of new
methodologies, to analyze complex multimodal and longitudinal fMRI data,
to participate at MRI data acquisition, manuscripts writing.
Methods employed in the lab: Cortical morphometry (thickness,
gyrification), voxelbased DTI, tractography, resting-state fMRI, graph
theory, pattern recognition, multivariate pattern analysis (MVPA).
Toolboxes employed in the lab: Matlab, SPM, FSL, FreeSurfer,
connectomemapper.
Academic requirements: Master in medicine, psychology, biology,
sciences, mathematics, engineering, neurosciences or equivalent title.
Expertise in brain imaging and/or programming is not mandatory but
highly preferred.
Contact: The candidature (motivation letter, CV, copy of the diploma and
graduations, possibly letter of recommendation) has to be sent
preferentially by email by the 21st of June to the following addresses:
Maria Carmela PADULA: maria.padula(a)unige.ch
Elisa SCARIATI: elisa.scariati(a)unige.ch
https://www.unige.ch/medecine/psyat/fr/groupes-de-recherche/stephan-eliez/
===========================
9.
I would like to bring the following post to your attention:
Research Fellow in Developmental Cognitive Neuroscience at the
University of Southampton (UK)
We are seeking a Research Fellow to start in August 2015 or soon
thereafter. The post is funded for one year in the first instance, but
with the possibility of extension. The aim of the project, which is a
multi-site study funded by the EU, is to investigate sex differences in
antisocial behaviour in children and adolescents using functional and
structural neuroimaging, genetic, psychophysiological, and
neuropsychological methods.
Experience with fMRI data collection and analysis (including functional
and effective connectivity methods) is highly desirable, but we would
also consider candidates with expertise in structural MRI or DTI data
analysis. The project has been running for two years and half of the
overall dataset has been collected already, so the successful applicant
would be able to start analysing functional and structural MRI data and
preparing papers for submission straight away. The closing date for
applications is the 26th June 2015.
For further information about the post, and to apply via the University
of Southampton’s application system, please see here:
https://www.jobs.soton.ac.uk/Vacancy.aspx?ref=575415JW
Please feel free to contact me with informal enquiries about the post or
the project at: g.f.fairchild(a)soton.ac.uk<mailto:g.f.fairchild@soton.ac.uk>
Thanks for your attention,
- Graeme Fairchild
Dr Graeme Fairchild
Associate Professor in Clinical Psychology
Academic Unit of Psychology
University of Southampton
Shackleton Building
Highfield Campus
Southampton SO17 1BJ
United Kingdom
Office tel: +44 (0) 2380 593843
Mobile tel: +44 (0) 7748 062553
www.psychology.soton.ac.uk
======================
10
Our lab (www.ccnlab.net) recently received funding for a PhD and postdoc
position at the interface between machine learning (deep learning,
Bayesian modeling, computational linguistics) and neuroscience:
http://www.ru.nl/english/working/job-opportunities/details/details-vacature…http://www.ru.nl/english/working/job-opportunities/details/details-vacature…
The positions deal with the development of new computational models to
probe how naturalistic representations are encoded across the cortical
surface.
For the PhD position, we are looking for candidates with a Master’s
degree in cognitive (neuro)science, computational neuroscience or a
related area of research. Candidates should have excellent programming
skills, a strong mathematical background and prior experience with
acquisition of neural data.
For the postdoc position, we are looking for candidates with a PhD
degree in machine learning, artificial intelligence, computational
neuroscience, applied mathematics or a related area of research.
Candidates with a degree in cognitive neuroscience and a strong
mathematical background would also be eligible.
Start of the project is negotiable but preferably September 2015.
---------------
Dear Users
There will not be a YNiC seminar this week.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1.
Dear all,
Poldracklab at Department of Psychology, Stanford University is looking
for a full time Data Curator (DC) to help grow a repository for sharing
and analysing scientific data at OpenfMRI.org. OpenfMRI.org is a project
dedicated to the free and open sharing of functional magnetic resonance
imaging (fMRI) datasets, including raw datas. To learn more about the
OpenfMRI project, please go to https://openfmri.org/content/find-out-more.
The Data Curator will work closely with Stanford scientists to push
forward our vision of open and reproducible research. The DC will have
Linux experience and passion for working with big datasets. The work
will be performed in a dynamic environment, working directly with
research scientists to run the OpenfMRI system in a flexible and agile
manner. Challenges will include dealing with unusual datasets and unique
experimental designs and accurately representing them in OpenfMRI
platform. S/he will be trusted to manage relations with researchers
submitting data and accurately represent their datasets with high degree
of independence. S/he should be comfortable working with people and have
strong communication skills. Every day at Stanford will present learning
opportunities with the smartest minds in the world. The Data Curator’s
work will have direct influence on availability of neuroimaging data,
which will lead to better understanding on how the brain works and how
to treat neurological disorders.
If you are interested please apply here:
https://stanford.taleo.net/careersection/2/jobdetail.ftl?job=66924
==================
2.
Data Neuroimaging Analyst Position in Cambridge (UK)
Applications are invited for an experienced and enthusiastic neuroimager
to join the Drug Addiction Research group on 1 October 2015 for at least
2 years. The group focuses on functional and structural brain
abnormalities associated with the risk of and resilience to drug
addiction, and the effects that chronic drug exposure has on the brain.
We use advanced structural (e.g. surface- and connectivity-based
cortical parcellation, diffusion tractography) and functional (e.g.
connectivity metrics, cognitive paradigms) magnetic resonance imaging
methods in order to address our research questions.
For information please see website:
http://www.jobs.cam.ac.uk/job/7027/
The closing date for applications is 15 June 2015. If you have any
informal questions about this vacancy please contact Dr Karen Ersche via
email to ke220(a)cam.ac.uk.
===========================
3.
POST-DOCTORAL FELLOWSHIP
IN CLINICAL NEUROIMAGING
THOMAS JEFFERSON UNIVERSITY/ SIDNEY KIMMEL
MEDICAL COLLEGE, PHILA., PA.
The Department of Neurology at Thomas Jefferson University/Jefferson
Medical College has an opening for a Two-Year Postdoctoral Research
Fellowship in Clinical Neuroimaging focusing on both clinical brain
mapping and primary cognitive neuroscience investigations. The emphasis
in our neuroimaging program is on cognitive and behavioral
reorganization/plasticity following brain surgery for epilepsy. Other
neurologic conditions, however, are also studied (tumor). Presurgical
brain mapping studies are undertaken (MRI volumetrics, task-fMRI,
resting state functional connectivity, diffusion imaging,
electrocortical stimulation, neuropsychological assessment) as well as
post-surgical neuroimaging studies investigating clinical, cognitive,
and behavioral outcomes. The pre-surgical brain mapping studies are
conducted on a regular basis, utilized in image-guided surgery, and
then made available for research. Studies in brain recovery and the
cognitive reorganization of language and memory functions are
emphasized, along with projects in electrophysiology and brain
stimulation, yielding rich multi-modal datasets for the investigation of
both cognitive and seizure networks. Thomas Jefferson University
provides a interdisciplinary environment with grand rounds, seminars,
case conferences, and opportunities to collaborate with faculty across
departments such as neurosurgery and radiology. Successful applicants
will have a strong background in image processing (e.g., MATLAB, SPM,
FSL) with a strong interest in clinical neuroimaging and cognitive
neuroscience. Applicants must have a MD or PHD in neuroscience,
biophysics, biomedical engineering, statistics, neuropsychology, or
related field. Interested applicants should send a CV and cover letter
stating experience and interests, and three letters of recommendation.
Anticipated start date is the summer of 2015. Contact: Joseph I.
Tracy, Ph.D., ABPP(CN). Director, Cognitive Neuroscience and Brain
Mapping Laboratory, Thomas Jefferson Univ./Jefferson Medical Coll.,
Jefferson Hospital for Neuroscience, 901 Walnut Street, Suite #447,
Phila.,PA 19107, phone:#215-955-4661, e-mail: joseph.tracy(a)jefferson.edu.
Thomas Jefferson University and Hospitals is an equal Opportunity
Employer. Jefferson values diversity and encourages applications from
women, members of minority groups, LGBTQ individuals, disabled
individuals, and veterans.
====================================
4.
The Laboratory of Psychophysiology, at the Nencki Institute of
Experimental Biology (Warsaw, Poland) is seeking 1 postdoctoral fellow
for a minimum commitment of 4 years. The project is funded by the
National Science Centre grant “Maestro” – PI. Prof. Anna Grabowska.
Project:
The main objective of the project is to define the etiology of
developmental dyslexia by studding the relationship between a variety of
deficits known to contribute to reading disorder at three levels of
analysis: behavioral, cognitive and neuronal.
Job requirements:
· background in neuroimaging
· ambitious and highly motivated for pursuing a career in science
· PhD in neuroimaging, computational neuroscience, cognitive
neuroscience or equivalent obtained up to 5 years before application
· strong background and interest in neuroscience, MRI analysis and
statistics
· excellent publication record
· programming and advanced data analyses skills are appreciated
knowledge of Polish is desirable
Candidates with a strong interest in and experience with methods for
integrating multimodal imaging measures, including quantitative
structural MRI and functional MRI as well as longitudinal data analysis
are in particular encouraged to apply.
LAB facilities:
The position is based at Laboratory of Psychophysiology
(http://pslab.nencki.gov.pl) in collaboration with Laboratory of Brain
Imagining (LOBI, http://lobi.nencki.gov.pl), Nencki Institute of
Experimental Biology in Warsaw (http://www.nencki.gov.pl/). LOBI
provides state-of-the-art facilities with a fully research-dedicated 3
Tesla MRI Siemens Trio machine, well-established infrastructure for
neurophysiological testing (electro-encephalography, transcranial
magnetic stimulation and eye-tracker).
Research environment:
The project offers a stimulating, young environment. We are currently
collaborating with:
· Laboratoire de Sciences Cognitives et Psycho Linguistiques, ENS,
France – Dr F. Ramus
· Haskins Laboratories, New Haven, US - Prof. K. Pugh
· Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH
Aachen University, Germany – Dr S. Heim
· Centre for Cognitive Neuroscience, University of Salzburg,
Austria – Dr F. Richlan
· Department of Educational Neuroscience, University of Amsterdam,
The Netherlands – Prof. N. van Atteveldt
· Institute of Radioelectronics, Warsaw University of Technology,
Poland – Prof. P. Bogorodzki
Starting date: October 2015
Application deadline: open until position is filled
To apply:
please send a CV, letter of motivation and three references to
k.jednorog[at]nencki.gov.pl
========================
5.
The Department of Psychiatry at the University of California, San Diego
is pleased to invite applications for a postdoctoral research scholar
position in neuroimaging and behavior genetics under the direction of
Drs. William Kremen (Psychiatry) and Anders Dale (Radiology and
Neuroscience). The position focuses on training in the application of
sophisticated neuroimaging methods (structural MRI, DTI, fMRI, and ASL)
and associated studies that will be applied to the NIH/NIA-funded
Vietnam Era Twin Study of Aging (VETSA). VETSA is a unique longitudinal
study of middle-aged male twins that focuses on understanding cognitive
and brain aging. Over 500 twins have undergone neuroimaging and
extensive neurocognitive assessment, personality and psychosocial
measures, a medical history interview, in-lab physical health measures,
and hormonal assays. Genome-wide genotyping of all participants is
currently underway. Wave 3 of the project, which was recently funded,
will acquire new longitudinal and neuroimaging data.
Applications from many disciplines may be considered, and the position
is open to qualified international applicants. Requirements for the
position are: 1) completion of relevant Ph.D. research activities within
the past five years; 2) advanced neuroimaging and programming skills, 3)
statistical knowledge, 4) evidence of writing skills, and 5) an interest
in imaging genetics research. Experience with multilevel data analysis
and/or genetics is desirable. The postdoctoral candidate will be
encouraged to develop his or her own research projects that fit within
the overall scope of the VETSA project. The position will entail
immersion in MR image analysis and opportunities to learn about twin
modeling. Experience with FreeSurfer and/or other neuroimaging
software, R, and MATLAB is strongly preferred.
This advertisement is for a 2-year appointment beginning immediately.
Salary will be consistent with the NIH/NRSA levels in accordance with
the University of California, San Diego for Postdoctoral trainees.
Compensation includes UCSD benefits, including health insurance and
vacation time. Review of applications will begin immediately and will
continue until the position is filled. As an Equal
Opportunity/Affirmative Action Employer, the UCSD Department of
Psychiatry seeks to recruit and retain a diverse workforce as a
reflection of our strong commitment to the twin goals of achievement of
excellence and diversity among its faculty and staff. We are thus
interested in candidates who are committed to the highest standards of
scholarship and professional activities, and to the development of a
climate that supports equality and diversity.
To apply, please send a copy of your CV, a brief statement of research
interests and goals, and any selected reprints to the email addresses
below. Letters of reference will be required before final approval of
hiring. Informal inquiries concerning this position are encouraged.
Please e-mail Dr. Anders Dale (amdale(a)ucsd.edu) and Dr. William Kremen
(wkremen(a)ucsd.edu) for more details.
================================
6.
Dear All
We are looking for a PHD Student. Please read all détails :
TEAM HOME
Thematic : Neurosciences
Team name: Institute for Memory and Alzheimer’s Disease
Team Home Manager Supervisor Harald Hampel HAMPEL Harald(PU)
Title of the research unit: : Institut du Cerveau et de la Moelle
Épinière (ICM), INSERM
Name of Director : Alexis Brice
PROPOSED TOPIC
Title :
Structural, Functional and Effective Connectivity of AD Related Neural
Networks
Project :
Applications are invited for a fully funded PhD position (3 years) at
the Pierre and Marie Curie University
(Université Pierre et Marie Curie (Paris 6), UPMC, Paris, France), at
the Doctoral School of Brain, Cognition,
Behavior (Ecole Doctorale Cerveau-Cognition-Comportement, “ED3C”).
The UPMC, part of the Sorbonne Universities, is the leading University
in France in the area of science,
technology, and medicine and among the leading universities in the
world. The scientific policy of the “ED3C” is
strongly characterized by its multidisciplinary nature and its
commitment towards both human sciences and
mathematical disciplines.
Objectives :
The PhD will be involved in the investigation of structural,
functional and effective connectivity of neural
network models related to Alzheimer’s disease (AD), such as the limbic
system (especially the hippocampal
formation, the amygdala, and the entorhinal cortex) and the basal
forebrain cholinergic system using both
Magnetic Resonance Imaging (MRI) and functional Magnetic Resonance
Imaging (fMRI) including advanced
tractography methods. The associations between brain pathology and
indices of functional and structural
connectivity are expected to help our understanding of the role of
specific neural networks and their connectivity
in brain function in healthy aging and neurodegenerative disease.
The PhD student will be involved in the study of the multi-modal
nature of specific neural networks – both
in the structural and the functional domains and how these two
components interact with each other – along with
the staging spectrum of AD (from preclinical to prodromal to
dementia). To this aim, he/she will have access to
different landmark clinical cohorts and datasets of patients including
the INSIGHT, SOCRATES, and EDSD
cohorts.
The PhD student will be involved in the exploration of the various
uses that structural and functional
neuroimaging biomarkers can play in detecting, diagnosing, assessing
treatment response and in investigating
neurodegenerative diseases with a special emphasis on AD.
The successful applicant will work under the supervision of the AXA
Research Fund and UPMC Chair,
Prof. Harald Hampel, located at the Institute for Memory and
Alzheimer’s Disease (IM2A) and the Brain & Spine
Institute (Institut du Cerveau et de la Moelle Épinière, ICM), Paris,
the leading French Institute on brain research,
centrally located within the Pitié-Salpêtrière University Hospital –
Charles Foix. The Brain & Spine Institute
(http://icm-institute.org/menu/actualites) is a widely renowned
research centre of excellence of international
dimensions. It brings together motivated scientists from various
horizons and countries in order to develop
innovative and cutting-edge research in the area of Neuroscience.
Research teams work at the Brain & Spine
Institute independently but are strictly interconnected through
cross-disciplinary research programs (both basic
and clinical), thus encouraging the amalgamation of different skills.
The multidisciplinary approach to
Neuroscience (Neurobiology, Neurochemistry, Neurogenetics,
Neuropsychology as well as structural / functional /
diffusion / molecular Neuroimaging) taken by the Brain & Spine
Institute represents a vital and dynamic advance
in research.
Background
There is growing evidence that brain activity supports complex
cognitive function that occurs within large-
scale brain networks rather than within single isolated brain regions.
For the definition of connectivity of brain
activity between brain regions, two major concepts have been applied
(Horwitz, 2003). The first concept refers to
functional connectivity, i.e., the correlation between neuronal
changes within one brain region related to another
(Friston, 1998). Functional connectivity has been applied to explore
the correlative pattern of brain activity (Bokde
et al., 2006; 2001). In contrast, effective connectivity refers to the
causal influence of one brain region’s activity on
another where that direction of influence can be explicitly modelled
(Ramnani et al., 2004). Furthermore, global
[rather than local] network properties may be characterized, using
graph theory to describe the properties of a
network’s architecture in terms of efficiency or connectedness
(Bullmore & Sporns, 2009).
In recent years, more and more centers have successfully begun
employing formal network analyses as
biomarkers of neurodegenerative diseases (Hampel et al., 2014; 2012;
Horwitz & Rowe, 2011). Actually, current
understanding of the effects of focal damage on neural networks is
rudimentary, even though such understanding
could provide greater insight into important neurological and
neurodegenerative diseases (Bokde et al., 2008;
2006). AD is characterized by early, non-linear dynamic, chronically
progressive cellular and molecular2
mechanisms (protein misfolding) leading to neurodegeneration that
translates clinically into multi-domain
cognitive and behavioral decline, psychopathological disturbances with
subsequent loss of function to perform
day-to-day tasks and ultimately total loss of independence. Findings
derived from neuroimaging studies of both
the structural and functional organization of the human brain have led
to the widely supported hypothesis that
neural networks of temporally coordinated brain activity across
different regional brain structures underpin
cognitive function. Thus, a failure of the regions of a network to
interact at a high level of coordination may
underpin progressive cognitive decline which is present in AD (Bokde
et al., 2009).
The breakdown of network function may be due to interaction failure
among the regions of a network,
which is denoted the disconnection hypothesis (Friston, 1998). In
other words, a disruption in the temporal-
spatially coordinated activity among different regions in the brain
rather than isolated changes in specific brain
regions may underlie cognitive impairment in AD. The breakdown is
thought to be due to progressive AD
pathophysiology with underlying molecular mechanisms leading
downstream to neuronal and synaptic
dysfunction and ultimately to neuronal loss. Such AD-characteristic
structural and functional alterations are
hypothesized to reflect at least partially the progressive impairment
of fiber tract connectivity and integrity (Stoub
et al., 2006; Morrison & Hof, 2002), suggesting that the disconnection
in AD is evident at both the functional and
structural level. Notably, the multi-modal nature of networks should
be examined, i.e., both the structural and
functional components that define a network. Given the substantial
changes that the brain undergoes with the
presence of AD-related pathophysiology, these alterations will
manifest themselves not only in the functional and
structural modules but also in how the changes in the two domains
interact with one another (Teipel et al.,
2007a). Neuroimaging biomarkers will need to be developed and analyzed
crossectionally and longitudinally in
terms of underlying brain networks rather than in terms of individual
regions (Horwitz & Rowe, 2011).
Overall, the current discussion on AD argues that it presents in part
a dynamically progressive structural,
functional and metabolic disconnection syndrome that may undergo
distinct stages from potentially reversible
adaptation to functional compensation to irreversible decompensation.
Studies using fMRI (Bokde et al., 2008;
2006) and electroencephalography (Jelles et al., 2008; Babiloni et
al., 2006) demonstrate that synchronicity of
brain activity is altered in AD and correlates with cognitive
deficits. Moreover, recent advances in diffusion tensor
imaging (DTI) to examine white matter microstructural changes have
made it possible to track axonal projections
across the brain, revealing substantial regional impairment in
fiber-tract integrity in AD (Teipel et al., 2011; Teipel
et al. 2007b).
This work will substantially help develop biomarkers for early
detection, prediction and progression of AD
and will support the discovery and validation of markers that map the
effects of disease modifying therapies on
the brain, ultimately providing much needed surrogate biological markers.
Key references
Horwitz B. (2003). Neuroimage 19:466–470.
Friston KJ. (1998). Schizophr Res 30:115–125.
Bokde ALW et al. (2006). Brain 129:1113–1124.
Bokde ALW et al. (2001). Neuron 30:609–617.
Ramnani N. et al. (2004). Biol Psychiatry 56:613–619.
Bullmore E & Sporns O (2009). Nat Rev Neurosci 10:186–198.
Hampel et al. (2014) Biochem Pharmacol 88:426-449.
Hampel et al. (2012) Alzheimers Dement 8:312-336.
Horwitz B & Rowe JB (2011). Prog Neurobiol 95:505-509.
Bokde ALW. et al. (2008). Psychiatr Res Neuroimaging 163:248 259.
Bokde ALW et al. (2009). Prog Neurobiol 89:125–133
Stoub TR et al. (2006). Proc Natl Acad Sci USA 103:10041–10045.
Morrison JH & Hof PR (2002). Prog Brain Res 136:467–486.
Teipel SJ et al. (2007a). Brain 130:1745–1758.
Jelles B et al. (2008). Clin Neurophysiol 119:837–841.
Babiloni et al. (2006). Brain Res Bull 69:63–73.
Teipel SJ et al. (2011) Hum Brain Mapp 32:1349-1362.
Teipel SJ et al. (2007b). Neuroimage 34:985–995.
Requirements
The ideal candidate is expected to have a robust academic and science
background. A preference will be
given to students with profound knowledge in neuroscience,
neuroimaging data analysis, applied mathematics,
biostatistics, or computer science at the master’s level. Candidates
demonstrating competencies on structural
and functional MRI methods, knowledge and experience with MRI-related
data analysis packages (SPM, Matlab,
Freesurfer, AFNI), statistical softwares (e.g., SPSS or R), and
programming skills (e.g.,
MATLAB, Python, C++)
will have a strong advantage. The candidate has to be fluent both in
written and spoken English. The position is
expected to begin in October 2015. Applications should include a full
Curriculum Vitae and a Cover Letter
detailing the applicant’s interest and motivation for this position.
Two letters of academic reference, assessing the
applicant’s skills, research and learning potential, ability to team
work and personality, should be sent
independently by the referees. Applications together with all
documents, including reference letters, should be
submitted electronically to:
e.mirassou-ihu(a)icm-institute.org with reference to “PhD position" in the
E-mail header.
Applications must be received within the 30th of June 2015.
Best,
-- Elodie Mirassou Assistante du Professeur Harald Hampel, MD, PhD, MA,
MSc AXA Research Fund & UPMC Chair Sorbonne Universities Université
Pierre et Marie Curie - Paris 6 Institut de la Mémoire et de la Maladie
d’Alzheimer & Institut du Cerveau et de la Moelle épinière (ICM)
Département de Neurologie Pavillon François Lhermitte Hôpital Pitié
Salpêtrière 47 Boulevard de l’hôpital 75651 Paris CEDEX 13 Phone: + 33
(0) 1 42 16 75 21 (office) Email: e.mirassou-ihu(a)icm-institute.org
=======================================
7.
Applications are Invited from prospective candidates for the following
positions at Indian Institute of Technology Gandhinagar, Gujarat, India.
The research topics are
Junior Research Fellow: Statistical learning of Category Information: A
neuroimaging investigation
Senior Research Fellow: Integration of Perceptual and Value based
decision making
Post doctoral Fellow: Topic to be discussed within the areas of motor
learning, decision making, early detection of Alzheimers disease using
connectivity and machine learning approaches.
Techniques and Methodologies include Eye tracking, and EEG
Candidates for JRF and SRF posts will have a Masters degree in Science
and have qualified a national level eligibility test OR a Masters degree
in professional courses such as Engineering. Applications for SRF
position will need to have an additional two years of Research Experience
Krishna Prasad Miyapuram (Ph.D. Cantab)
Assistant Professor (Cognitive Science & Computer Science)
Indian Institute of Technology Gandhinagar
VGEC Campus | Chandkheda - 382424 | Ahmedabad, India
========================
8.
Applications are invited for a Post-Doctoral Researcher to join the
Wellcome Trust Consortium for Neuroimmunology of Mood Disorders and
Alzheimer’s Disease (NIMA). The post will be based at the Clinical
Imaging Sciences Centre (CISC), Brighton & Sussex Medical School,
University of Sussex, Brighton UK, under the supervision of Dr Neil
Harrison.
NIMA is a 5-year research programme, with total funding of approximately
£5.7M, designed to translate the new inter-disciplinary science of
neuroimmunology to therapeutic applications in psychiatry and neurology.
The research programme will be coordinated across a network of UK
academic centres (University of Sussex, University of Cambridge, Cardiff
University, University of Glasgow, King’s College London, University of
Oxford and University of Southampton) and two major pharmaceutical
companies (Janssen Pharmaceuticals R&D and H. Lundbeck A/S). The
scientific scope of the research will include clinical biomarker
studies, therapeutic trials of new drugs in patients with depression and
Alzheimer’s disease, and animal experiments, and is intended to develop
new treatment approaches for these conditions.
Dr Neil Harrison (University of Sussex) and Prof Ed Bullmore (University
of Cambridge) will co-lead MRI components of the Consortium which will
be undertaken at Sussex, Cambridge, Glasgow, KCL & Oxford. The post will
be based at the Clinical Imaging Sciences Centre (CISC) on the
University of Sussex campus and will involve close coordination with
Cambridge as well as each of the other imaging sites.
The research programme will use a range of advanced quantitative
techniques including models of magnetisation transfer (qMT), T1/ T2
mapping and diffusion imaging (NODDI), as well as task-related
functional imaging and graph theoretic analyses of multi-echo resting
state fMRI in conjunction with peripheral and CSF immunophenotyping to
investigate the neural and peripheral signatures of inflammation in
patients with depression. Comparable techniques as well as histology
will be acquired in rodent inflammation models (KCL) to facilitate
back-translation of the human imaging findings.
The post holder will work closely with a postdoc based at Cambridge and
other researchers at both sites to analyse all of the imaging data
acquired from up to 150 patients and controls. This post offers an
outstanding opportunity to be involved in a large multi-centre
consortium combining cutting-edge microstructural and functional
neuroimaging with deep immunological phenotyping to characterise the
role of inflammation in the commonest mental disorder depression. The
successful candidate will assist in the initial quality control of
sequences across imaging centres and the analysis and interpretation of
the imaging data. The post will involve close collaboration with other
leading UK neuroimaging groups as well as groups working on functional
immunological network changes.
For more information and link to application form:
http://www.sussex.ac.uk/aboutus/jobs/196
===================
Dear Users
There will not be a YNiC seminar this week.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
1. Postdoctoral Fellow - Center for the Developing Brain at the Child
Mind Institute, New York
ORGANIZATIONAL SUMMARY
The Child Mind Institute (CMI) is a non-profit organization dedicated to
transforming mental health care for children everywhere. We are
committed to finding more effective treatments for childhood psychiatric
and learning disorders, building the science of healthy brain
development, and empowering families with help, hope and answers.
JOB SUMMARY
CMI is recruiting a postdoctoral fellow interested in the study of human
brain function and the characterization of brain development and
maturation in clinical and non-clinical populations. Overarching goals
of our work include: 1) the delineation of psychiatric illness in terms
of neuroscience, 2) the identification of objective imaging-,
phenotypic- and genetic-based markers of pathology, which will
eventually serve to facilitate the detection of psychiatric illness
and/or guide clinicians in the selection of treatments and determination
of treatment response, 3) exploration of the impact and utility of
emerging intervention techniques (e.g., tDCS/tACS, TMS). Fellows will be
expected to take a multidisciplinary approach to their work, drawing
from a broad range of disciplines (e.g., clinical psychology, cognitive
neuroscience, computer science, engineering, mathematics,
neuropsychology). In order to facilitate this process, they will work as
part of a multidisciplinary team, integrating findings obtained from a
variety of imaging approaches including: resting state functional MRI,
tDCS/tACS, TMS, simultaneous EEG/fMRI, diffusion tensor imaging,
cortical thickness, and volumetrics.
This position reports to Dr. Michael Milham, Director of the Center for
the Developing Brain. This is an exempt, full-time position located in
our NYC headquarters office.
RESPONSIBILITIES
• Work to identify objective markers of pathology in human brain
function, development and maturation using a combination of imaging and
stimulation approaches
• Work in a multidisciplinary environment, drawing from a broad range of
disciplines and imaging approaches
QUALIFICATIONS
• Completed PhD in biomedical engineering, computer science, cognitive
neuroscience, clinical neuroscience, clinical psychology, mathematics,
neuropsychology or related fields
• Significant prior neuroimaging experience with one or more imaging
modalities (fMRI, DTI, MRI, EEG, MEG)
• Strong skills in the usage of one or more common functional
neuroimaging packages (e.g., AFNI, FSL, or SPM)
• Programming experience in one or more languages (e.g., Python, C/C++,
Matlab or similar platforms is required). The candidate must be willing
to develop expertise in Python during the first year of the fellowship.
• Significant prior neuroimaging experience with one or more stimulation
modalities (tDCS, tACS, TMS) is a plus, but not required
• A passion for the CMI mission
APPLICATION DETAILS
Click here to apply:
https://home.eease.adp.com/recruit2/?id=13420431&t=2. Please upload
cover letter and resume as one document in the resume section on the
application site.
For questions regarding this position, please contact Dr. Michael Milham
at Michael.Milham(a)childmind.org. No phone calls or recruiters, please.
Employment at Will Relationship: This position description does not
constitute a guarantee that employment will continue for any specified
period of time. Rather, employment is at the mutual consent of the
employee and CMI, and can be terminated at will by the employee or by CMI.
CMI reserves the right to modify the job description and/or reporting
relationship at any time.
CMI is an Equal Opportunity Employer, and is committed to recruiting and
maintaining a diverse staff; individuals from all backgrounds are
strongly encouraged to apply.
To learn more about the Child Mind Institute, please visit
www.childmind.org.
========================================
2. HILD MIND INSTITUTE: RESEARCH ASSISTANT OPENING
ORGANIZATIONAL SUMMARY
The Child Mind Institute (CMI) is a non-profit organization dedicated to
transforming mental health care for children everywhere. We are
committed to finding more effective treatments for childhood psychiatric
and learning disorders, building the science of healthy brain
development, and empowering families with help, hope and answers.
CMI makes use of innovative MRI- and EEG-based imaging approaches to
characterize brain maturation across the lifespan, with a particular
focus on understanding the impact of psychiatric illnesses on
maturational processes. Additionally, CMI is dedicated to the support of
open-datasharing initiatives, such as the 1000 Functional Connectomes
Project.
JOB SUMMARY
The Child Mind Institute is recruiting a Research Assistant to assist in
a number of initiatives underway, as we work to integrate research into
our clinical practice. Responsibilities will include: 1) assistance in
the development of informatics systems and tools, which are being
designed to specifically capture relevant data in a standardized way
across clinical centers, 2) conduct of electroencephalography (EEG)
studies, and assistance with the analysis of data, 3) coordination of
functional MRI-based imaging efforts. Applications are currently being
invited for a 2-year position available at the Child Mind Institute,
under the direction of Michael Milham, MD PhD. The CMI fosters a
collaborative environment where research assistants have the opportunity
to gain excellent clinical and research experience, with the potential
for publication.
RESPONSIBILITIES
· Assist in EMR system development and maintenance activities
· Assist with database development and management
· Work closely with the clinical-research integration team to understand
workflow and organizational goals
· Work with brain imaging and electrophysiology researchers to carry out
data-collection and analysis that include EMR outputs
· Facilitate open science data-sharing initiatives
QUALIFICATIONS
· B.S. / B.A. in Biomedical Engineering, Computer Science, Neuroscience,
Information Systems, or other related scientific fields
· Prior research experience preferred
· Good understanding of information technology oriented methods and
approaches
· Programming experience with one or more languages (Python, Matlab,
C/C++ or SQL)
· Strong interpersonal skills, as well as strong written and oral
communication
Anticipated start date: June 2015
For more detailed information and the online application form, please
visit: http://www.childmind.org/en/research-assistant-position-2015/
=======================================
3. Research Assistant in Developmental Neuroscience (Emotion and Language)
We are looking for one full-time research assistant to support an
ongoing longitudinal project investigating emotion and language
development in 5-12 year olds (possibility for shared part-time position
with an engagement of at least 40%). Applicants are required to have a
strong interest in neuroimaging and developmental research questions and
need to be able to work with young children and families. Previous
background in study conduction and programming are desirable, but not
required. Job duties include re-inviting and scheduling families from an
existing database, writing ethical applications, task development,
standardized testing and assistance during pediatric neuroimaging
sessions, data organization, entry and analysis. German language skills
are required in order to work with the families. This position is
currently restricted to one year, but future funding applications within
the project are supported. Workplace is within the research facilities
of the Child and Adolescent Psychiatry and University Hospital in Basel.
For more information and to apply, please send a CV and motivational
letter to Dr. Nora Raschle using the subject line “RA kids study”
(nora.raschle(a)upkbs.ch). Salary is paid on an hourly basis (25CHF/h) and
will be around 4000CHF/month in a full-time setting.
===========================
4. Research/Technical Assistant in Functional and Structural
Neuroimaging Analysis
We are looking for one full-time research/technical assistant to support
ongoing neuroimaging projects investigating brain structure and function
in children and adolescents with and without conduct disorder
(DTI/fMRI/sMRI) (possibility for part-time position with an engagement
of at least 60%). Applicants are required to have a strong interest in
neuroimaging research and previous background in MRI analysis techniques
and/or programming are beneficial (e.g. comfortable working in
linux/MATLAB environment, SPM, FSL, python). Job duties include
neuroimaging data organization and analysis and support in manuscript
preparation. This position is currently restricted to one year, but
future funding applications within the project are supported. Workplace
is within the research facilities of the Child and Adolescent Psychiatry
and University Hospital in Basel. English or German language skills are
required. For more information and to apply, please send a CV and
motivational letter to Dr. Nora Raschle using the subject line “RA tech”
(nora.raschle(a)upkbs.ch). Salary is dependent on previous experience and
employment times, starting around 4000CHF/month for a full-time setting.
===============================================
5.
The Division of Newborn Medicine at Boston Children’s Hospital / Harvard
Medical School invites applications for a Research Technologist. The
successful candidate will carry out studies on human brain development
by using a combination of different neuroimaging techniques, such as
MEG, EEG and DTI. The focus of the studies is two common pediatric
neurological disorders: epilepsy and cerebral palsy. Previous experience
with MEG and/or multichannel EEG data analysis skills is required.
A candidate for this research position may hold a MSc or a PhD degree,
e.g., in neuroscience, biomedical engineering, or a related field in
engineering. Experience in the acquisition of neuroimaging data or with
the analysis of DTI or fMRI data is an advantage. Appointments will be
normally made for one year with a possibility to extend depending on
further funding. This position is best for a person interested in
neuroimaging data analysis from newborns, babies and children.
Below is a description of the responsibilities and minimum and preferred
qualifications.
Responsibilities:
Experimental setup of pediatric neuroimaging studies.
Acquisition/collection of MEG and related data (i.e. EEG, EOG, etc)
from healthy as well as sick newborn, babies, and children.
Analysis and evaluation of MEG and related data by using
sophisticated software analysis tools such as BrainStorm, MNE,
FieldTrip, SPM, etc.
Modification of neuroimaging tools to adapt to the specific project
requirements.
Minimum qualifications:
MSc in the area of Neuroscience, Biomedical Engineering, Computer
Engineering or a related field in engineering.
Proven familiarity with MEG/EEG apparatus.
Basic understanding of the electromagnetic theory for signal analysis.
Excellent Matlab and/or Python programming skills and demonstrated
experience with Linux operating system.
Previous experience in Biomagnetic research is not required but it
will be preferred.
Fluency in English since there will be frequent interactions with
the family members as well as children. Abilities to relate to children
and their parents are essential.
Conditions of Employment:
Salary: commensurate with education and experience (50-60K$).
BCH has excellent benefits, including health benefits and
retirement plans with employer contributions.
BCH values diversity and is committed to equal opportunity in
employment.
How to Apply
Please send a cover letter and a recent CV to the following address
(either by post or email):
Christos Papadelis, PhD
Boston Children’s Hospital / Harvard Medical School
9 Hope Ave, Waltham
MA 02453, USA
E-mail: christos.papadelis(a)childrens.harvard.edu
Phone: +1-781-216-1128
===============================
6. Research Fellow/Senior Research Fellow
University of Southampton - Human Sciences Research Unit
Location: Southampton
Salary: £28,695 to £40,847 per annum
Hours: Full Time
Contract Type: Contract / Temporary
Placed on: 19th May 2015
Closes: 18th June 2015
Job Ref: 568215KR
Fixed Term Until 30/06/2018
Personalized fitting and evaluation of hearing aids with EEG responses
This is an exciting opportunity to work on an EPSRC funded project joint
between the Universities of Southampton, Manchester and Imperial
College, London. The project aims to optimise hearing aid devices for
individuals based on the analysis of neurophysiological responses to
complex auditory stimuli and especially speech.
We aim to develop algorithms and associated experimental protocols for
personalized hearing aid fitting, based on stimuli that patients
consider realistic and challenging. The vision is to reduce the reliance
on subjective, voluntary responses, and move to more objective
approaches based on neurophysiological responses. Objective approaches
have the advantage that they can be carried out in patients who are
unable to provide such voluntary responses, for example infants or the
elderly with dementia. Also by monitoring hearing without constant
interruption to assess patients’ perception, the performance of the
hearing aid can be assessed in more natural listening conditions and
over a longer time scale than is typically available in audiology
clinics. This approach would be applied at the initial stage of
hearing-aid fitting, in evaluation of fitting and in the longer term,
adapting the system to changing acoustic environments and changing user
requirements.
The project objectives are:
1) Propose, assess, and recommend stimuli to use in assessing hearing
performance and access to speech
2) Propose, assess, and recommend signal processing and analysis methods
to extract information on access to speech from Electroencephalogram
(EEG) signals, using a minimum number of channels necessary.
3) Assess if responses in the EEG to real-world stimuli are sufficiently
sensitive and robust (within a reasonable time-duration of tests) to
provide the foundation for the development of clinical procedures
4) Propose, assess, and recommend algorithms to optimize hearing aid
fitting, based on parameters extracted from EEG stimulus responses
5) Assess the feasibility of using this approach in infants and other
patient groups.
The project team includes Dr Steven Bell, Professor David Simpson, Dr
Karolina Kluk-de-Kort, Dr. Tobias Reichenbach, Dr Ben Lineton and Dr
Patric Naylor from the industrial partner Interacoustics. The team has
expertise in biomedical signal processing, clinical audiology,
electrophysiology, and speech processing. Post-doctoral researchers will
join each of the centres for three years and become part of the
interdisciplinary team working on this project across the centres. This
is an exciting multidisciplinary project that aims to ultimately improve
patient care.
You must have expertise in biomedical signal processing, preferably with
experience in the analysis of EEG signals and/or audiology. Hands-on
experience with the analysis of signals from patients, healthy
volunteers, or animals, and knowledge of signal processing approaches is
essential.
For the level 4 Research Fellow role applications will be considered
from candidates who are working towards or nearing completion of a
relevant PhD qualification. The title of Research Fellow will be applied
upon completion of PhD. Prior to the qualification being awarded the
title of Senior Research Assistant will be given.
Application Procedure
You should submit your completed online application form at
www.jobs.soton.ac.uk. The application deadline will be midnight on the
closing date stated above. If you need any assistance, please call
Geraldine Lewis (Recruitment Team) on +44 (0) 23 8059 2507. Please quote
reference 568215KR on all correspondence.
We aim to be an equal opportunities employer and welcome applications
from all sections of the community. Please note that applications from
agencies will not be accepted unless indicated in the job advert.
==================================
7.
Hi
please could you circulate this to potentially interested parties. QUT
is strongly prioritizing Behavioural Neuroscience and Imaging in view
of their partnership in the new Herston Imaging Research Facility
(http://www.uq.edu.au/news/article/2012/06/new-herston-imaging-research-faci…).
I am happy to advise anyone who is interested in applying.
cheers
Pat Johnston
patrick.johnston(a)qut.edu.au
Vice-Chancellor's Research Fellowship Scheme - Queensland University of
Technology
Vice-Chancellors Research Fellowship Scheme
QUT is offering up to 20 Vice-Chancellors Research Fellowships for
leading postdoctoral researchers at Level B and C on a three year
fixed-term basis. These prestigious fellowships are available in the
following target areas:
Behavioural Neuroscience and Imaging
Infectious Disease
Injury Prevention, Management and Rehabilitation
Medical Robotics
Bioproducts
Digital Productivity
Data Science, Computational Modelling and Simulation Science
Integrated STEM Education for the Young
Design and Health
Technology, Strategy and Innovation
Intellectual Property
Sustainable Power Engineering
When applying for this position you are required to:
Upload your Curriculum Vitae (maximum 10 pages) and demonstrate as
part of your CV your personal achievement in relation to the topics in
selection criteria 1 in the guidelines.
Provide a detailed research project proposal (maximum 8 pages) and
indicate that prior contact and confirmation of the suitability of the
proposed project has been discussed with the relevant Assistant Dean
(Research) and/or Institute Director. The requirements of the research
project proposal can be found in selection criteria 2 in the guidelines.
For Research Fellows only (Level C) upload your statement of claims
(maximum 2 pages) including examples outlining your suitability for the
role referring to selection criteria 3 in the guidelines.
How to apply:
If you have NOT registered with our Online Application System, you
can begin your Application by clicking the 'Begin' button.
If you are unsure if you have registered before, click here and
follow the steps.
https://qut.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplicatio…
======================
Dear Users
This afternoon (from 4 pm in B020) Michael Mackay, University of
Newcastle, will give an external project proposal presentation on
"Biomarkers of cortical epilepsy".
Abstract:
Epilepsy is one of the most common neuronal disorders affecting
approximately 50 million people worldwide. Almost 30% of patients are
refractory to anticonvulsant medication. In focal epilepsy, when
seizure-freedom is not achieved using anticonvulsant drugs, resective
surgery can be considered as a therapeutic option. However resective
surgery is not without its risks, and depending on the type of surgery
up to 50% of patients will have no improvement in their symptoms. The
aim of this research is to improve outcomes in epilepsy surgery using
high frequency oscillations in magnetoencephalography as a non-invasive
biomarker of the epileptogenic zone, and through modelling of
neocortical epilepsy using subject-specific structural connectivity data
derived from tractography and performing in silico surgery to predict
ideal surgical intervention.
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Dear Users
This Thursday (from 4 pm in B020) Michael Mackay, University of
Newcastle, will give an external project proposal presentation on
"Biomarkers of cortical epilepsy".
Everyone is welcome to attend and refreshments will be available after
the seminar.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
