The Okinawa Institute of Science and Technology [OIST] Graduate
University (http://www.oist.jp) invites applications for a faculty
position in neuroscience. OIST emphasizes interdisciplinary research and
teaching. Current faculty covers multiple disciplines in biology,
chemistry, mathematics and physics; including a strong presence in
experimental and theoretical neuroscience. Appointments can be made as
Assistant Professor (tenure track), Associate Professor (tenured) or
Professor (tenured). This is part of a plan to hire 50 new faculty
members by 2023.
We seek applicants with outstanding scholarship, creativity, and
interdisciplinary interests. Further information and details of the
application procedure may be accessed at
https://groups.oist.jp/facultypositions
Inquiries should be directed to Professor Ken Peach, Dean of Faculty
Affairs, faculty-recruiting(a)oist.jp
Applications should be made online before 15th November 2015.
OIST is a new, English-language graduate university offering a
world-class research environment and has an international research
community with faculty, students and staff from over 50 countries.
Faculty receives research budgets and has access to top of the line
equipment. The campus is located on a beautiful, subtropical island in
Okinawa, Japan.
OIST Graduate University is an equal opportunity educator and employer
committed to increasing the diversity of its faculty, students and staff
by having proactive policies in place. We provide a family-friendly
working environment, including a bilingual child development center on
campus. Applications from women and other underrepresented groups are
strongly encouraged. See https://groups.oist.jp/ged.
----
Kenji Doya <doya(a)oist.jp>
Neural Computation Unit, Okinawa Institute of Science and Technology
1919-1 Tancha, Onna, Okinawa 904-0495, Japan
Phone: +81-98-966-8594; Fax: +81-98-966-2891
https://groups.oist.jp/ncu
===============================
we have now an open imaging scientist position located in Basel. For
more details on the position and to apply please follow the link
provided below.
http://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-3111270146&locale=…
Best wishes,
Juergen Dukart
-- Juergen Dukart, PhD, Dipl.-Psych. Head of Clinical Imaging Senior
scientist / Biomarker Experimental Medicine Leader F. Hoffmann-La Roche
Ltd. Bldg/Rm, 74/3W.606.1 Grenazacherstrasse 170, 4070 Basel,
Switzerland Tel.: +41 (0)61 68 77091 Mobile: +41 (0)79 707 17 31
===========================
Job Summary:
Postdoctoral Fellow-PhD position available
Program Summary:
• Interdisciplinary postdoctoral fellowship program in translational
aspects of genetics, imaging and psychiatry. Program goals are to create
and analyze a large database of psychiatry patients and controls studied
with imaging and genetics.
• We use multimodal MRI (reward-related task, resting state functional
connectivity, DTI, volumetry) to study psychiatric disease. This
position is partially funded by The Menninger Clinic, a large
psychiatric clinic in Houston, Texas. We have access to a large and
varied population of psychiatric patients. Our long term goal is to
develop biomarkers of psychiatric illness.
Qualifications:
• Ph.D. degree in a basic sciences or equivalent, and human brain
imaging experience (AFNI, SPM, FSL, etc) is required.
To apply for this opportunity please visit
https://chk.tbe.taleo.net/chk03/ats/careers/requisition.jsp?org=BCM&cws=1&r…
Baylor College of Medicine is an Equal Opportunity, Affirmative Action,
and Equal Access Employer
===========================
A research-fellow post is available at the Integrative Brain Imaging
Center, National Center of Neurology and Psychiatry. We are looking for
a candidate with expertise in PET, SPECT, MRI image analysis and with a
strong publication record. You are expected to take a lead or co-author
role in publishing existing datasets within the lab, as well as
acquiring new data, data analysis and novel algorithm development.
Your responsibilities will include:
Analysis of behavioral and neuroimaging data
Presentations at national and international meetings
Manuscript preparation for publication
Required skills:
A doctoral degree and publication record in cognitive science,
neuroscience, computer science or related field
An independent, target-driven attitude
Matlab or Python or C++ programming skills
At least 6 month experience of living abroad
Background in statistics
Experience with FSL, SPM, conn, AFNI, R, SPSS
Fluency in English – written and oral
Japanese is not necessary, but beneficial
About the post:
One year contract, extensible up to 3 years
Salary is based on a per hour basis: 1 hour = 2510 yen (in case of
medical license holder 2800 yen). Additionally, travel allowance and
other bonuses are offered.
Working hours: up to 31 hours/week
Social insurance, unemployment insurance, accident insurance are
covered by the Center
The dorm room is available for singles
To apply, please send the following documents:
CV (with picture)
List of publications and international conferences attended
Summary of major research achievements and future research
objectives (up to 400 words)
Reference from your direct supervisor or your current workplace
(reference should be addressed to the President of National Center of
Neurology and Psychiatry)
For more details on the Center, please go to:
http://www.ncnp.go.jp/ibic/english/index.html
Full details can be found here (Japanese only):
http://www.ncnp.go.jp/recruit/
Interested parties should email all necessary papers to matsudah(a)ncnp.go.jp
宜しくお願い致します。
Sincerely,
Jarek Rokicki, Ph.D.
Integrative Brain Imaging Center (IBIC)
National Center of Neurology and Psychiatry (NCNP)
4-1-1 Ogawahigashi-chyo, Kodaira,
Tokyo 187-8551 Japan
TEL: +81-80-6628-5709
====================================
Postdoctoral Fellow in Multivariate Analysis, Machine Learning and
Classification
Job description:
Computation functional anatomy laboratory at National University of
Singapore focuses on the development of medical image analysis methods,
including image segmentation, registration approaches, multivariate
statistical analysis, machine learning, and classification algorithms.
Our group is particularly working on multi-modal magnetic resonance
imaging of the brain and derives mathematical/statistical models for
characterizing variations of the brain anatomy and function and their
associations with clinical phenotypes and/or genetics.
We are seeking for research fellows who are interested in developing and
employing data mining approaches for understanding high dimensional
brain image and/or genetic data. The candidate with experience on high
dimensional data or 3D image analysis will be seriously considered.
Requirements:
· Ph. D on computer vision, statistics, electrical engineering, or
biomedical engineering
· Good communication and writing skills in English language
If you are interested in the jobs listed above, please send your CV to
Associate Prof. Anqi QIU
Department of Biomedical Engineering
National University of Singapore
Email: bieqa(a)nus.edu.sg
Phone: +(65) 6516 7002
Postdoctoral Fellow Position on Imaging Genetics of Infants
Job description:
Computation functional anatomy laboratory at National University of
Singapore (http://www.bioeng.nus.edu.sg/cfa) focuses on brain and
cognition studies using neuroimaging techniques. Our group is leading a
large-scale longitudinal neurodevelopmental project from birth onwards
in Singapore. The project examines neurocognition using EEG and eye
trackers, brain development using diffusion tensor imaging (DTI),
resting-state fMRI, and structural MRI, genetic and epigenetic
influences on cognition and brain. Thus far, we have collected both
functional and anatomical imaging as well as genetic and epigenetic data
of 200 newborns and their follow-up at six months. The follow-up
scanning at 4, 6, and 8 years will start soon. We are looking for a
research fellow who is interested in developing and (or) employing
pattern recognition approaches to understand the relationship of the
brain with psychopathology in early life and how environmental factors
and genetics influence such relationship. Or the candidate is interested
in developing spatial-temporal analysis tools for this longitudinal
datasets.
Requirements:
· Ph. D or MD
· Neuroimaging Research background is preferable but necessary
· Knowledge in multivariate statistical analysis is necessary
· Good communication and writing skills in English language
If you are interested in the jobs listed above, please send your CV to
Associate Prof. Anqi QIU
Department of Biomedical Engineering
National University of Singapore
Email: bieqa(a)nus.edu.sg
Phone: +(65) 6516 7002
============================
Postdoctoral Position in Neuroimaging – Quantitative Neuroimaging
Laboratory (QNL), Cognitive Neuroscience Division, Columbia University, NYC
Job Summary:
QNL invites applications for a full-time postdoctoral position to
conduct processing and analyzing of PET and MRI neuroimaging data, as
part of multiple research studies on aging and Alzheimer’s disease.
Principal Responsibilities:
The primary responsibility of this position includes developing novel
image processing and statistical analysis methods for reconstruction of
brain Beta Amyloid PET images and its accompanying structural MRI and
fMRI data from healthy and diseased participants of multiple studies all
focusing on aging and Alzheimer’s disease.
The QNL is a new research infrastructure housed in the Cognitive
Neuroscience Division of the Columbia University Medical Center
Neurology Department. The main focus of the QNL is to develop techniques
to quantify structural and functional brain images which allow
researchers and clinicians to detect brain-based effects that are
normally beyond the sensitivity and specificity of commonly-used
detection methods in the field. We aim to achieve this goal by utilizing
state-of-the-art signal and image processing tools as well as
mathematical and statistical method. We are affiliated with Columbia’s
Biomedical Engineering Department, Sergevsky Center, and the Taub
Institute for Research on Alzheimer’s Disease and the Aging Brain.
Required Qualifications:
• PhD in Biomedical/Electrical Engineering, Computer Science,
Medical Physics, Neuroscience or related disciplines.
• Strong background in MRI analysis and related statistical
methods for research (SPM, Freesurfer, FSL, AFNI or similar).
• Experience with image processing and data analysis.
• Strong computer programming skills (e.g., in C/C++, Matlab, R, and
especially Python) are highly desirable.
• Ability to think independently and work collaboratively.
Benefits
• Columbia University officers' benefits applies
• Starting date: Jan 2015.
• The postdoctoral position is scheduled initially for two years
(open to renewal).
• Salary will depend on experience.
Additional Information:
To apply, please submit a single PDF file containing the following: 1)
Cover letter describing research interests and relevant background; 2)
CV with list of publications; 3) The names of three individuals who
could provide reference letters. All files or inquiries should be
submitted electronically to:
academicjobs.columbia.edu/applicants/Central?quickFind=61752
Ray Razlighi
Assistant Professor in Neurology
Adjunct Assistant Professor in Biomedical Engineering
Email: qr2108(a)cumc.columbia.edu
=========================
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 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 will be given priority.
========================
Postdoctoral researcher “Machine learning analysis of neuroimaging data”
Job description
The University of Amsterdam has a vacancy for a postdoctoral researcher.
The aim of the project is to develop deep convolutional neural network
(CNN) analysis of neuroimaging data to enable neuroimaging biomarker
development. Neuroimaging data consist of thousands of features but the
training of convolutional networks is typically hampered by limited
samples. You will use large existing datasets for the development of CNN
analysis and test the resulting models in smaller samples to develop
neuroimaging biomarkers that are predictive of treatment outcome in
patients with psychiatric disorders. You will closely collaborate with
experts in CNN and computer vision in the deep learning group of Prof.
Max Welling (UvA) as well as with experts in neuroimaging and psychiatry
in the group of Dr. Guido van Wingen (AMC-UvA). Key objectives include
the construction of networks that are invariant to differences in MRI
data acquisition, accommodate classification on multiple data
modalities, test the networks with supervised and unsupervised problems,
and develop software for end-users. This project is funded by a Vidi
grant from the Netherlands Organisation for Scientific Research (NWO/ZonMW).
Requirements
We are looking for a postdoctoral fellow with a (nearly completed) PhD
in computer science, artificial intelligence, bioinformatics,
mathematics, statistics, engineering, or related discipline. You have a
strong background in mathematics, statistics, and (GPU) programming
(e.g., Linux, C++, Python, Cuda, Matlab), and have experience with
machine learning, pattern analysis, and/or medical image analysis. You
have excellent communicative skills in written and spoken English (Dutch
is a plus but not required) and are well able to work independently as
well as in a team. You have an interest in neuroscience and developing
biomedical applications, and as postdoctoral researcher will assist in
the supervision of junior researchers.
What we offer
We offer a challenging multidisciplinary research project for the
duration of 2 years with a possible extension. The starting date is
preferably around January 2016. Compensation is according to the
collective agreement (CAO-UMC), and you will be employed by AMC Medical
Research BV.
Contact information
For more information regarding the position, you can contact dr. Guido
van Wingen (G.A.vanWingen(a)amc.uva.nl) and Prof. Max Welling
(M.Welling(a)uva.nl).
To apply, please provide a motivation letter explaining why you are the
right candidate, curriculum vitae, transcript of records including
grades, a list of projects you have worked on (with brief descriptions
of your contributions, max. 2 pages), and the names and contact
information of two academic references.
You can only apply online until November 27 via www.amc.nl/vacatures.
=======================
The Clinical Neuroscience & Development Laboratory at the Olin
Neuropsychiatry Research Center (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), CNDLAB Director, Olin NRC,
200 Retreat Avenue, Hartford, CT 06106.
=====================
A group of cognitive neuroscientists in the San Francisco Bay Area is
seeking a highly motivated and ambitious postdoctoral fellow to lead a
project to develop mobile apps and using these apps in combination with
neuroscience tools to perform large-scale trans-disciplinary and
multisite research examining cognitive development. The suite of apps
will focus on reading, math, and executive function measures for young
children. There is a possibility of extending the app to the domains of
motivation, empathy and creativity, and to cognitive training. The
postdoc must be interested in both theory-driven as well as applied
research, and have the ultimate goal of using neuroscience and mobile
technology to transform education.
The fellow will work closely with mentors and their labs from the
University of California, San Francisco (Fumiko Hoeft MD PhD, Melina
Uncapher PhD, Adam Gazzaley MD PhD, Joaquin Anguero PhD, Jyoti Misrha
PhD, Roeland Hancock PhD, Robert Hendren DO, Bruce Miller MD,
Maria-Luisa Gorno-Tempini MD PhD), Stanford University (Bruce McCandliss
PhD, Miriam Rosenberg-Lee PhD) and UC Berkeley (Silvia Bunge PhD).
He/she must have a demonstrated history of productivity in mobile
software development, and cognitive psychology/neuroscience or education
research, with excellent programming, interpersonal, organizational and
leadership skills. A strong interest in cognitive development or
psychometrics is a plus. PhDs or equivalent are encouraged to apply.
With the right talent, individuals with a BSc and MSc will be
considered. The minimum commitment is 2 years with a flexible start
date, and the primary appointment will be held within the Department of
Psychiatry at UCSF.
Interested candidates should email a cover letter and CV. Please add
“[APP development job]" and your full name in the Subject of the email.
Qualified candidates will be asked to have 3 letters of reference
forwarded.
CONTACT: Fumiko Hoeft MD PhD, info(a)brainLENS.org
URL: https://vimeo.com/brainLENS/CINTELhttps://vimeo.com/brainlens/DyslexiaCenterhttp://brainLENS.org
========================
Postdoc Positions for the Adolescent Brain Cognitive Development (ABCD)
study
University of California, San Diego
Several funded postdoctoral positions are available in image analysis
method development, including automated cortical- and subcortical
segmentation, advanced diffusion tractography, and fMRI mapping and time
series analysis. We are looking to build a team to help build the next
generation of analysis pipelines and visualization tools for a newly
funded study to follow 10,000 children with longitudinal structural and
functional imaging across 19 sites across the US. The study will use a
cross-platform Harmonized Human Connectome Protocol, optimized for
quantitative accuracy and consistency of imaging biomarkers across
scanners and time. To learn more about the ABCD study, please see
http://www.drugabuse.gov/news-events/news-releases/2015/09/nih-launches-lan….
Requirements: Applicants should have research experience in any of the
above fields, with a Ph.D. or equivalent degree. They should be
comfortable working in a distributed team environment, and should have a
track record of quality scientific publications. Candidates are expected
to be experienced in programming with Matlab, Python, and/or C/C++.
Experience with FreeSurfer, FSL, and the Human Connectome analysis
pipelines is strongly preferred.
To formally apply, submit a current CV, a personal statement describing
your research experience and interests, and contact information for 2-3
references to abcd(a)ucsd.edu. Or feel free to email Dr. Donald Hagler
(dhagler(a)ucsd.edu) or Anders M. Dale (amdale(a)ucsd.edu) for more
information.
===================
A new post is available at the University of Bristol, which would suit
someone with a strong neuroimaging background, who is either a new or
more experienced post-doc. The researcher will be involved in acquiring
and analysing MRI data for fMRI, ASL, resting state fMRI and possibly
also VBM, but also in designing experiments and collecting behavioural data.
Please see the brief job description below, the full details of which
can be found here: http://www.jobs.ac.uk/job/AMH347/research-associate/
Applications are invited for a full-time Research Associate to work
alongside other research staff on an EU FP7-funded project entitled
“Nudge-it: The Neurobiology of Decision-Making in Eating - Innovative
Tools.” (http://nudge-it.eu/)
Background to the project: As highlighted in The EC White Paper on
Nutrition, Overweight and Obesity-related Health Issues, the prevalence
of overweight and obesity across Europe has increased dramatically in
the last thirty years, particularly among children. For effective
policies on healthy eating, we must be able to make meaningful
predictions about the consequences of particular behaviours and
interventions. For this to happen, we need to understand basic
determinants of food choice. Nudge-it is a multidisciplinary project
that engages experts in the neurobiology of motivational behaviour, in
the neuroscience of reward pathways, in the neuroendocrinology of
homeostatic regulation of appetite, in experimental psychology, in
functional brain imaging, in behavioural economics, and in computational
modelling.
The work at Bristol combines neuroimaging with controlled
laboratory-based studies to identify and quantify key determinants of
food choice. The post-holder will assist with research aimed at
understanding the role of interoception and how individual differences
in sensitivity to interoceptive signals influence food choice. The
objective of the work is to identify brain mechanisms underlying food
choice and to develop predictive models that can be used to understand
drivers of unhealthy dietary decisions.
This five-year project is now approaching the end of its second year.
The post-holder will be responsible for the design, execution, analysis,
and dissemination of findings, both from neuroimaging and from
laboratory-based experiments. The final year of the project will involve
data collection in a home environment.
About the post: The post would suit a well-qualified and experienced
researcher with expertise in neuroimaging and experimental design. The
post will be available from 1st January 2016. The salary will be within
the range of £35,256 - £39,685 (University of Bristol, Grade J)
according to qualifications and experience.
Informal enquires can be directed to Professor Jeff Brunstrom (tel: 0117
928 8574;Jeff.Brunstrom(a)bristol.ac.uk).
--
Jonathan Brooks (PhD) - Senior Research Fellow
CRiCBristol, University of Bristol, St Michael's Hill, Bristol, UK
T: +44(0)117-342-1512 W: http://www.cricbristol.ac.uk
=====================
An NIMH funded post-doctoral position to study the functional and
neurochemical effects of stress on reinforcement learning in patients
with major depression is available in the Translational Research in
Affective Disorders Laboratory (TReADLab) in the Department of
Psychology at Emory University (PI: Michael Treadway). Located in the
heart of Atlanta, GA, the Department of Psychology at Emory provides an
outstanding environment in which to pursue post-doctoral training in
clinical neuroscience and multi-modal neuroimaging. Full salary and
benefits are guaranteed for two years.
Responsibilities: Responsibilities include serving as project lead for
an NIMH-funded study, including designing/programming experiments,
scanning participants, analyzing behavioral and neuroimaging data,
presenting data at national and international meetings, and preparing
manuscripts for publication. The successful candidate will also be
expected to take a lead or co-author role in publishing on existing
datasets in the lab, as well as develop and pursue novel research
questions. Candidates will be strongly encouraged to apply for
extramural funding during the post-doctoral period.
Necessary skills/qualifications: A doctoral degree and promising
publication record in cognitive science, neuroscience, computer science,
psychology, or related field. Strong functional neuroimaging background
and/or computer programming skills (e.g. MATLAB and/or Python) are
required. Should be self-motivated, independent, and reliable. Research
experience in affective, clinical or cognitive neuroscience (e.g.,
conducting and analyzing fMRI or MRI studies), will all be viewed
positively, but are not required.
Interested parties should email a CV, names of relevant professional
references, and a brief statement of interest to Chelsea Leonard
chelsea.leonard(a)emory.edu. Applications will be reviewed beginning
12/1/2015 until the position is filled. Start date is flexible depending
on candidate availability.
For more details on the grant project, please go to:
https://projectreporter.nih.gov/project_info_description.cfm?aid=8994068&ic…
For details on the TReADLab go to:
http://psychology.emory.edu/clinical/treadway/lab/Home.html
For details on the neuroimaging facilities in the Emory Department of
Psychology please go to: http://fern.emory.edu/home/index.html
--
Daniel Cole
Research Assistant - TReAD Lab
Department of Psychology - Emory University
Email: Daniel.Cole(a)emory.edu
=================================
we are seeking for post-doc candidates (“University Assistant”, approx.
equivalent to “Lecturer”, contract up to 6 years) who will work in close
collaboration with
Claus Lamm and his team at the Social, Cognitive and Affective
Neuroscience Unit (SCAN-Unit).
Further information about current and past research of the lab can be
found on our webpage http://scan.psy.univie.ac.at/research
We are looking for candidates with a Ph.D. degree in (preferably
Experimental, Cognitive or Biological) Psychology, Social and/or
Cognitive Neuroscience, Cognitive Science, or a related field.
We are particularly looking for candidates with high-level expertise in
multivariate data analysis (including machine learning approaches and/or
computational modeling), preferably of fMRI
and EEG data.
Candidates should also have experience in designing, running, analyzing,
and publishing experimental studies using human neuroscience methods
such as fMRI, EEG, and/or TMS/tDCS.
For further details, please refer to the attached PDF, which can also be
found here: http://tinyurl.com/pypnq6f
Please feel free to forward widely.
Best wishes,
Claus
--
Prof. Claus Lamm
Head of the Social, Cognitive and Affective Neuroscience Unit
Faculty of Psychology
University of Vienna
Liebiggasse 5, 1010 Vienna, Austria
e: claus.lamm(a)univie.ac.at
w: http://homepage.univie.ac.at/claus.lamm
w: http://scan.psy.univie.ac.at
w: http://forschungscluster.meduniwien.ac.at/mmi-cns
t: +43-1-4277-47130
=========================
One postdoctoral position is available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Imaging Genomics: The successful candidate should have a strong
background on Biomedical Engineering, Electronic Engineering, Computer
Science, or relatedly majors, preferably with emphasis on neuroimaging
analysis and genomics. Experience on brain disease diagnosis is highly
desirable. People with machine learning background on feature
representation and regression are particularly encouraged to apply.
Strong knowledge on programming (good command of LINUX, C/C++, Python,
Matlab, etc.) is desirable. The research topic will be the development
and validation of innovative methods for imaging genomics.
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).
=============================
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).
========================
------------------------------------------------------------------------------
UCL INSTITUTE OF NEUROLOGY
Wellcome Trust Centre for Neuroimaging
University College London, UK
Research Associate / Senior Research Associate in MRI Physics
-------------------------------------------------------------------------------
A postdoctoral position for an expert in MRI physics is available within
the Wellcome Trust Centre for Neuroimaging (WTCN), UCL Institute of
Neurology, London, UK. The Centre has excellent facilities and an
interdisciplinary working environment that enables fruitful
collaborative physics research with application in the neuroscientific
domain.
We seek a highly motivated individual to work within Prof. Nikolaus
Weiskopf’s Physics group. The group specializes in the development of a
broad range of methods, including diffusion, structural and functional
imaging. The group’s ethos is to understand the underlying MR physics so
as to arrive at efficient and effective solutions to problems.
This position will pursue research projects with emphasis on functional
MRI (fMRI) with key target areas being:
· High-resolution fMRI (~1mm);
· Ultra-fast fMRI enabling whole-brain imaging in less than 1s,
including multi-band and 3D EPI;
· Reduction of susceptibility artefacts and physiological noise
in fMRI;
· Parallel imaging and advanced image reconstruction, e.g.
compressed sensing.
As a member of the WTCN Physics Group, the post-holder will also be
expected to support ongoing neuroscience research.
Applicants must have a PhD or, if not already held (Research Associate
applicants only), the PhD must have been obtained by the agreed
start-date in physics, biomedical engineering, or a comparable subject.
A strong background in MR physics is essential, as is expertise in
programming high-level languages (e.g. C/C++, Matlab). Applicants must
also be specialized in at least one (Research Associate) or two (Senior
Research Associate) of the following areas: pulse sequence programming,
Siemens MR scanners and software (IDEA, ICE), MR image reconstruction
methods (in particular, parallel imaging and compressed sensing),
assessing safety of equipment / implants in the MR environment,
time-series analysis, functional MRI or SPM software. Those applying for
the Senior Research Associate position will also need to be able to
demonstrate an established publication track record and experience of
leading a team of researchers.
The post is funded by the Wellcome Trust until November 2017 in the
first instance and is available immediately. Salary will be in the range
of £33,686 - £40,716 pa on UCL Grade 7 (Research Associate) or
£41,844-£49,362 pa on UCL Grade 8 (Senior Research Associate) including
London Allowance, superannuable.
You should apply for this post through UCL's online recruitment –
http://www.ucl.ac.uk/hr/jobs where you can download a full job
description and person specification using ref: 1517456.
If you have any queries regarding the application process, please
contact Samantha Robinson, Personnel Officer, Institute of Neurology, 23
Queen Square, London, WC1N 3BG (email:IoN.HRAdmin@ucl.ac.uk).
Informal enquiries to Prof Nikolaus Weiskopf (email: n.weiskopf(a)ucl.ac.uk).
Further information on the lab:
http://www.fil.ion.ucl.ac.uk/Research/physics.html
Closing date: 16 December 2015
================================
Postdoctoral Fellow in Multivariate Analysis, Machine Learning and
Classification
Job description:
Computation functional anatomy laboratory at National University of
Singapore focuses on the development of medical image analysis methods,
including image segmentation, registration approaches, multivariate
statistical analysis, machine learning, and classification algorithms.
Our group is particularly working on multi-modal magnetic resonance
imaging of the brain and derives mathematical/statistical models for
characterizing variations of the brain anatomy and function and their
associations with clinical phenotypes and/or genetics.
We are seeking for research fellows who are interested in developing and
employing data mining approaches for understanding high dimensional
brain image and/or genetic data. The candidate with experience on high
dimensional data or 3D image analysis will be seriously considered.
Requirements:
· Ph. D on computer vision, statistics, electrical engineering, or
biomedical engineering
· Good communication and writing skills in English language
If you are interested in the jobs listed above, please send your CV to
Associate Prof. Anqi QIU
Department of Biomedical Engineering
National University of Singapore
Email: bieqa(a)nus.edu.sg
Phone: +(65) 6516 7002
Postdoctoral Fellow Position on Imaging Genetics of Infants
Job description:
Computation functional anatomy laboratory at National University of
Singapore (http://www.bioeng.nus.edu.sg/cfa) focuses on brain and
cognition studies using neuroimaging techniques. Our group is leading a
large-scale longitudinal neurodevelopmental project from birth onwards
in Singapore. The project examines neurocognition using EEG and eye
trackers, brain development using diffusion tensor imaging (DTI),
resting-state fMRI, and structural MRI, genetic and epigenetic
influences on cognition and brain. Thus far, we have collected both
functional and anatomical imaging as well as genetic and epigenetic data
of 200 newborns and their follow-up at six months. The follow-up
scanning at 4, 6, and 8 years will start soon. We are looking for a
research fellow who is interested in developing and (or) employing
pattern recognition approaches to understand the relationship of the
brain with psychopathology in early life and how environmental factors
and genetics influence such relationship. Or the candidate is interested
in developing spatial-temporal analysis tools for this longitudinal
datasets.
Requirements:
· Ph. D or MD
· Neuroimaging Research background is preferable but necessary
· Knowledge in multivariate statistical analysis is necessary
· Good communication and writing skills in English language
If you are interested in the jobs listed above, please send your CV to
Associate Prof. Anqi QIU
Department of Biomedical Engineering
National University of Singapore
Email: bieqa(a)nus.edu.sg
Phone: +(65) 6516 7002
=============================
Great opportunity to join a growing team in Las Vegas, working for the
Cleveland Clinic in a highly specialized neurodegenerative disease
center. Please email me bankss2(a)ccf.org or walshr(a)ccf.org with any
questions:
http://www.lerner.ccf.org/jobs/postdoc/view.php?id=660
=====================
Job Summary:
QNL invites applications for a full-time postdoctoral position to
conduct processing and analyzing of PET and MRI neuroimaging data, as
part of multiple research studies on aging and Alzheimer’s disease.
Principal Responsibilities:
The primary responsibility of this position includes developing novel
image processing and statistical analysis methods for reconstruction of
brain Beta Amyloid PET images and its accompanying structural MRI and
fMRI data from healthy and diseased participants of multiple studies all
focusing on aging and Alzheimer’s disease.
The QNL is a new research infrastructure housed in the Cognitive
Neuroscience Division of the Columbia University Medical Center
Neurology Department. The main focus of the QNL is to develop techniques
to quantify structural and functional brain images which allow
researchers and clinicians to detect brain-based effects that are
normally beyond the sensitivity and specificity of commonly-used
detection methods in the field. We aim to achieve this goal by utilizing
state-of-the-art signal and image processing tools as well as
mathematical and statistical method. We are affiliated with Columbia’s
Biomedical Engineering Department, Sergevsky Center, and the Taub
Institute for Research on Alzheimer’s Disease and the Aging Brain.
Required Qualifications:
· PhD in Biomedical/Electrical Engineering, Computer Science,
Medical Physics, Neuroscience or related disciplines.
· Strong background in MRI analysis and related statistical
methods for research (SPM, Freesurfer, FSL, AFNI or similar).
· Experience with image processing and data analysis.
· Strong computer programming skills (e.g., in C/C++, Matlab, R,
and especially Python) are highly desirable.
· Ability to think independently and work collaboratively.
Benefits
· Columbia University officers' benefits applies
· Starting date: Jan 2015.
· The postdoctoral position is scheduled initially for two years
(open to renewal).
· Salary will depend on experience.
Additional Information:
To apply, please submit a single PDF file containing the following: 1)
Cover letter describing research interests and relevant background; 2)
CV with list of publications; 3) The names of three individuals who
could provide reference letters. All files or inquiries should be
submitted electronically at:
academicjobs.columbia.edu/applicants/Central?quickFind=61752
Ray Razlighi
Assistant Professor in Neurology
Adjunct Assistant Professor in Biomedical Engineering
Email: qr2108(a)cumc.columbia.edu
==================================
Postdoctoral Research Fellow – Neurobiology of Language and Memory,
Queensland University of Technology (QUT)
The Language, Cognition and Brain Sciences (LCBS) laboratory at
Queensland University of Technology (QUT) is seeking a motivated and
enthusiastic Postdoctoral Research Fellow to contribute to a range of
research projects investigating the neurobiology of language in both
healthy and language-impaired individuals. Applicants should have
completed a PhD or have submitted a PhD for qualification in psychology,
linguistics, cognitive neuroscience, speech pathology or an equivalent
field, and have proven technical ability with a demonstrated publication
track record in diffusion tensor imaging (DTI) and functional magnetic
resonance imaging (fMRI). Appointment may be made at Level A or B,
depending on the qualifications and experience of the successful applicant.
Work conducted within the lab focuses on investigating the neural and
cognitive mechanisms responsible for language processing in healthy
individuals, how these mechanisms are affected by brain tumours and
stroke, and how language recovery can be facilitated by various
treatments. It is anticipated that the appointee will work across a
range of projects involving neuroimaging, brain stimulation, genetic and
psycholinguistic methods. There will also be opportunity for the
appointee to develop new projects and obtain competitive funding based
on their own research interests, in alignment with the goals and
interests of the lab.
The position will entail conducting research at the Herston Imaging
Research Facility (HIRF), a purpose built state-of-the-art imaging
centre. The HIRF is a joint initiative between the Queensland University
of Technology, Metro North Hospital and Health Service, the QIMR
Berghofer Medical Research Institute, the University of Queensland, and
industry partner Siemens. The primary focus of HIRF is on research, with
a 3 Tesla Siemens Prisma MRI equipped for cognitive neuroscience
research (including a 64-channel BrainProducts MR-compatible EEG
system), in addition to Siemens PET-MR and PET-CT systems.
Interested candidates should apply online via the QUT website or Seek
addressing the selection criteria.
The deadline for application is November 15, 2015. Questions regarding
this position may be addressed to the lab director, Prof Greig de
Zubicaray: greig.dezubicaray(a)qut.edu.au
======================
Applications are invited for a Post-Doctoral position in the Brain and
Language Lab (www.brainandlanguagelab.org) at the University of Geneva.
The position is for 2 years (or more), and will be at the new Biotech
Campus (http://www.campusbiotech.ch/en/).
Candidates should have a degree in Psychology and/or Cognitive
Neuroscience, and should have a solid background in statistics and in
the analysis of functional magnetic resonance imaging data. The projects
will include brain imaging and behavioural studies on multilingualism
and expertise, with a focus on executive skills, attention and
statistical/language learning.
The salary is competitive, starting salary at ~ 69, 000 CHF/year (~ 81,
000 CHF/year as of August 2016) depending on experience.
The position is available immediately, and applications will be
considered until the position is filled. Informal inquiries can be
addressed to Narly Golestani (Narly.Golestani(a)unige.ch). Applications
including a CV, a statement of research interests, and the names and
full contact details of three referees should be sent to:
Narly.Golestani(a)unige.ch.
Brain and Language Lab
Department of Clinical Neuroscience
Biotech Campus
9 Chemin des Mines,
1202 Genève
+41 22 379 53 52
http://www.brainandlanguagelab.org
==================================
The Computational Psychiatry Unit (www.neurocpu.com) at The University
of Texas at Dallas and The Southwestern Medical Center invites
applications for a research coordinator position. This is an exciting
opportunity to work in the emerging interdisciplinary field of
computational psychiatry, which seeks to redefine mental disorders in
terms of aberrant computations at multiple scales, and to improve mental
health by applying modern neuroscientific techniques and discoveries.
Current research in the lab specifically focuses on the neural and
computational mechanisms of emotion and decision-making in drug
addiction and major depression.
Access to state of the art facilities including: two research-dedicated
human 3T MRI systems, one human 7T MRI system, multiple
research-dedicated 1.5T MRI systems, two PET systems (with coregistering
MRI), a SPECT camera, a high field system for animal studies, four EEG
systems equipped for both 64 and 128 channel recordings, TMS, rTMS,
tDCS, and HD tDCS equipment.
Job requirements: The successful candidate will participate in the
following aspects of research in the lab, including:
1) Preparing consent forms and paperwork related to research ethics,
assembling and administering neuropsychological assessments;
2) Screening and recruiting participants, scheduling participants for
testing, obtaining informed consent;
3) Tracking progress of the study and data collection, verifying data
and entering pertinent information into database for statistical analysis
4) Acquisition of behavioral and neural data, conducting statistical
analyses, and assisting with manuscript preparation.
Qualifications: Bachelor’s degree in any area of psychology,
neuroscience, clinical science, biomedical sciences, or related fields
is required. Master’s degree in any of these fields and/or clinical
experience is preferred.
Experience with any of the following would be an added advantage:
neuropsychological assessment, psychopharmacology, psychophysiology,
brain imaging, MATLAB, R, python, C++, and signal processing.
The candidate must have strong organizational and interpersonal skills;
the ability to work well with clinical populations; a willingness to
tackle complex tasks in an independent manner; and a strong work ethic.
How to Apply: Please email a CV, a one-page statement of research
interests and career goals in a single PDF document titled with
RA_YourName.pdf to Dr. Xiaosi Gu at xiaosi.gu(a)utdallas.edu
--
Xiaosi Gu, Ph.D
Assistant Professor
Computational Psychiatry Unit
The University of Texas at Dallas
2200 W Mockingbird Ln, Dallas, TX 75235
Tel: 972-883-3303
www.neurocpu.com
==============================
Full-time Programmer/Analyst position at The Oppenheimer Center for
Neurobiology of Stress
The Oppenheimer Center for Neurobiology of Stress at the University of
Los Angeles, California (http://uclacns.org) is immediately seeking to
fill a full-time Programmer/ Analyst II. Responsibilities include
programming and optimizing automated data quality control,
preprocessing, computational and analysis pipelines for large-scale
multimodal brain imaging and biological data.
The candidate should have a strong programming background in one or more
of the following areas: engineering, computer science, statistics,
physics, and/or neuroscience.
Expertise in Matlab is essential.
Experience with other data analysis languages (Matlab, Python, R) preferred.
Experience with database design and querying highly desired (MySQL
preferred).
Experience navigating UNIX environment is a plus.
Experience with Java script is a plus.
Experience with data visualization (d3.js or other) is a plus.
Experience in Neuroimaging (or image processing in general) not required
but is a plus.
The Oppenheimer Center for Neurobiology of Stress (CNS) is an
interdisciplinary, translational center funded by the National
Institutes of Health, and by philanthropic support. CNS has both a
research and clinical component.
CNS Mission:
1) Generate cutting edge research to demonstrate the crucial role of the
brain in health and wellness.
2) Identify brain signatures which play a role in vulnerability to and
resilience against chronic disease (including pain, stress-related
disorders, obesity).
3) Identify the role of the gut microbiome, the immune system and
genomic factors in shaping and maintain these brain signatures.
4) Identify differences between the male and female brain in mind brain
body interactions.
All MRI and PET imaging is currently conducted at the Ahmanson-Lovelace
Brain Mapping Center. The Brain Mapping Center is an internationally
recognized leader in functional and structural imaging.
Ahmanson-Lovelace Brain Mapping Center houses a state-of-the-art
facility equipped with a 3 Tesla Siemens Prisma system a Bruker 7.0
Tesla instrument, and a Siemens Sonata 1.5 Tesla device.
The successful candidate will typically have a master’s degree, but
unusually talented candidates with a bachelor’s degree and several years
of relevant experience will be considered. Salary is commensurate with
experience. Start immediately. A minimum three-year commitment is
strongly encouraged.
If interested, please apply at the following link
http://www.uclahealthcareers.org/all-jobs/Programmer-Analyst-II/H80582.
In addition, please send a CV and short statement of your interest, as
well as the names and addresses of three references to Dr. Jennifer
Labus, at jlabus(a)ucla.edu.
============================
University of Glasgow
Ref: 011494
Salary: Grade 6, £27,057-30,434 / Grade 7, £33,242 – £37,394 per annum
We are seeking to recruit a Research Assistant/Associate to work in the
Centre for Cognitive Neuroimaging within the Research Institute of
Neuroscience & Psychology at the University of Glasgow.
The post-holder will contribute to Wellcome Trust funded research
project entitled “Natural and modulated neural communication:
State-dependent decoding and driving of human Brain Oscillations” (Joint
Investigators: Gregor Thut, Joachim Gross). This is one of 5 Research
Associate positions covering different aspects of the above project.
The job requires working in an interdisciplinary team of researchers on
longstanding questions of how brain oscillations orchestrate brain
functions, or relate to brain dysfunction. This involves controlled
intervention into brain oscillations by transcranial brain stimulation
to modulate brain function. Specifically, the job requires expert
knowledge in at least one of the relevant techniques EEG, TES, TMS.
The post-holder will also be expected to contribute to the formulation
and submission of research publications and research proposals as well
as help manage and direct this complex and challenging project, as
opportunities allow.
Informal enquires may be made to Profs. Gregor Thut
(Gregor.Thut(a)glasgow.ac.uk) or Joachim Gross (Joachim.Gross(a)glasgow.ac.uk).
For more information and to apply online please visit
www.glasgow.ac.uk/jobs.
Closing date: 29 November 2015
========================
A postdoctoral position is available in Dr. Christine Rabinak's
Translational Neuropsychopharmacology Laboratory at Wayne State
University in Detroit, Michigan. Our research focuses on behavioral and
neural processes underlying fear learning and memory in healthy
volunteers and patients with fear-based disorders, such as posttraumatic
stress disorder. For more information about the specific projects and
areas please visit our lab website: http://www.tnp2lab.org
The initial postdoctoral fellow appointment will be for 2 years, with
potential to renew.
Minimum qualifications include a highly motivated individual with a
recently obtained (within the past 2 years) PhD in a relevant field
(e.g., Neuroscience, Psychology, Biology), MD, or MD/PhD, or comparable
degree. Strong evidence of technical experience in functional
neuroimaging, including strong programming skills (Matlab, C++, Python,
or equivalent programming language) is required. Experience designing
and conducting Pavlovian fear conditioning studies and/or working with
clinical populations of fear-based disorders (e.g., anxiety disorders,
posttraumatic stress disorder) is highly desirable. Candidates are
further required to have a strong record of research accomplishments and
publications, including presentations of scientific results at national
meetings and their publication in peer-reviewed journals, an ability to
work in a team environment as well as excellent oral and written
communication skills.
Duties will consist of, but are not limited to, designing, performing,
and analyzing studies that investigate the role of the cannabinoid
system in aversive learning and memory, aide, supervise, design, and
execute experiments pertaining to the lab’s area of research (emotion
and posttraumatic stress disorder). The candidate will participate in
the writing of manuscripts and grants, presenting data at national and
international meetings, and assist in the training of students. The
postdoctoral fellow will be expected to develop his/her own ideas within
the scope of the lab.
Qualified candidates should submit their CV, the names of three
references, and a cover letter summarizing current and future research
interests by email to Dr. Rabinak at rabinak(a)wayne.edu
This position is contingent upon the receipt of funding from the Office
of the Vice President of Research at Wayne State University.
Christine A. Rabinak, PhD
Assistant Professor
Wayne State University
Eugene Applebaum College of Pharmacy & Health Sciences
Pharmacy Practice
Pharmaceutical Sciences
Psychiatry & Behavioral Neurosciences
Translational Neuroscience Program
259 Mack Ave., Suite 2190
Detroit, MI 48201
rabinak(a)wayne.edu
Office: 313-577-9875
Fax: 313-577-5369
http://www.tnp2lab.org
===========================
Title of the research unit: :
Institut du Cerveau et de la Moelle Épinière (ICM), INSERM
Name of Director: Professor Alexis BRICE
Supervisor: Professor Harald HAMPEL
Title: “Development of multimodal structural and functional neuroimaging
biomarkers for the preclinical characterization, detection, prodromal
diagnosis and prediction of Alzheimer’s Disease“
Aims: The primary objective of the Post-Doc position is to implement
established and novel neuroimaging biomarkers through development of
advanced mathematical modeling to identify sensitive and specific
algorithms for the early detection/diagnosis/prediction of Alzheimer’s
disease (AD) in asymptomatic at risk individuals and prodromal patients
compared to patients with neurodegenerative diseases and age-matched
healthy controls
The Post-Doc will use existing cohorts of subjects and patients with
preclinical to clinical AD, other neurodegenerative diseases and
controls to develop a multimodal approach combining distinct
MR-neuroimaging methods (e.g. volumetric MRI, advanced tractography,
functional connectivity) and will closely work with researchers coming
from other disciplines (such as mathematics, biochemistry, genetics) in
order to: (i) develop and validate the function and performance of
single versus multimodal imaging parameters; (ii) develop classifiers
between age-related neurodegenerative diseases; (iii) translate them
into clinical practice and implement them in AD prevention trials; (iv)
correlate imaging data with available clinical, psychometric, genetic,
as well as blood- and CSF based biomarker information.
Background: Findings derived from neuroimaging of 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. Failure of integration within a network leads to
cognitive dysfunction. The current discussion on AD argues that it
presents in part a disconnection syndrome. Computer-based neuroimaging
technologies, such as structural and functional magnetic resonance
imaging and tractography methods represent suitable methods to
investigate this hypothesis. Moreover, several studies have highlighted
that a number of different neuropathologies that are crucially involved
in the development of AD and the causal interaction between these
pathologies is not yet fully understood. In this regards, a multimodal
approach using structural, functional, and tractography markers might be
pivotal to investigate evolving early processes in the brain leading to
AD pathological changes.
In conclusion, this work will substantially support the development of a
multimodal modal biomarkers for early detection, prediction, diagnosis
and characterisation of AD progression. The discovery and validation of
novel hypothesis-based as well as exploratory markers that map the
effects of disease modifying therapies on the brain, ultimately
providing much needed surrogate biological outcomes that represent later
clinical benefit, are of primary interest in the field AD research.
The successful applicant will work under the supervision and with the
research team of the AXA Research Fund and UPMC Chair, Professor 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.
Requirements :
The ideal Post-Doc candidate is expected to have a robust academic and
science background and previous experience in the study of structural
neuroimaging markers of AD. Candidates demonstrating competencies on
structural and functional MRI methods, knowledge and experience with
MRI-related data analysis packages (SPM, Matlab, Freesurfer),
statistical softwares (e.g., SPSS or R) will have a strong advantage.
The candidate has to be fluent both in written and spoken English.
The position is expected to begin December 15th, 2015. Applications
should include a full Curriculum Vitae. Applications together with all
documents, should be submitted electronically to:
e.mirassou-ihu(a)icm-institute.org with reference to “Post-Doc position"
in the E-mail header. Applications must be received within the 30th of
october 2015.
--
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
The Brain Connectivity and Cognition Laboratory in the Department of
Psychology at the University of Miami invites applicants interested in a
Lab Manager/Research Assistant position beginning Spring 2016. The
position will involve responsibilities including recruiting and
scheduling participants for research studies, data collection (MRI and
behavioral), data analysis using FSL or SPM, administrative duties, IRB
management, and general management of lab operations. As the majority of
these activities will be in service of data collection for an R01
investigating cognitive flexibility in autism, individuals with an
interest in the neuroscience of autism are particularly encouraged to
apply. Successful applicants will have completed an undergraduate degree
in psychology, neuroscience, or a related field. The job requires
exceptional organizational skills, high motivation and initiative, the
ability to work with children, and the ability to interact efficiently
and courteously with others. Individuals with prior experience
collecting and analyzing MRI data will be given preference. The position
requires a 2 year commitment.
Interested applicants can send their CV, three letters of reference, and
a cover letter describing their research interests and career goals to
Dr. Lucina Uddin (l.uddin(a)miami.edu). Additional information can be
found at http://www.psy.miami.edu/bccl/ and
https://www.facebook.com/umiamibraindevelopment/.
=====================
The Olin Neuropsychiatry Research Center (http://nrc-iol.org) located at
Hartford Hospital is looking for a research assistant II/programmer to
assist with neuroinformatics development. The Olin Center is a 40 person
department, opened in 2003 at the Institute of Living. We have a Siemens
Skyra 3T whole-body MRI, EEG, and TMS suites. We are looking for someone
to help develop the Neuroinformatics Database
(http://github.com/gbook/nidb), manage neuroimaging data, and assist
with the programming of automated neuroimaging processing systems. The
primary focus of the position will be developing and maintaining imaging
and non-imaging databases, but duties will also include responding to
support requests, training, documentation, and bug fixing. Candidate is
expected to have a bachelor’s degree in computer science or engineering,
and experience with programming and/or SQL databases required.
Experience programming PHP, Perl, HTML, SQL, in a Linux environment is
strongly preferred. Neuroimaging experience (you’re reading this from a
neuroimaging mailing list!) is also preferred, but not necessary.
Contact Greg at gregory.book(a)hhchealth.org
=============================
New York University is looking for an Assistant Research Scientist who
will work with faculty in the Center for Brain Imaging (CBI) to help
implement analysis techniques, establish data analysis streams, and to
make state-of-the-art MR techniques such as multi-echo/multi-plexed BOLD
fMRI, diffusion imaging, and advanced anatomical measurements available
to the broader research community.
Responsibilities include:
- Assisting in training graduate students, postdocs, and new
researchers in neuroimaging data collection and analysis, including use
of FSL, SPM, Freesurfer, AFNI and Matlab-based toolboxes.
- Consulting with researchers to select appropriate tools and methods
for data analysis, including modern statistical techniques for
multiple-comparisons correction, denoising, multivariate analyses,
functional connectivity analyses, and surface-based analyses.
- Technical support and training for faculty, staff, and students
acquiring MRI data, primarily on Siemens Prisma scanner.
- Organizing training workshops and seminars to expose researchers to
new developments in imaging methods and analysis techniques.
- Expertise in EEG and TMS a plus.
Qualified applicants should have:
- A PhD or equivalent experience in Psychology, Neuroscience,
Mathematics, or Statistics.
- Two years relevant experience or equivalent combination, which must
include experience with MR imaging principles, research training, data
acquisition and analysis, statistics, and/or signal processing.
- Excellent interpersonal, organizational and writing skills.
- Ability to effectively communicate with individuals of all levels.
- Strong analytical skills.
- Ability to multitask and work independently.
Salary to be commensurate with experience.
Interested individuals should contact Pablo Velasco, Ph.D. at
pablo.velasco(a)nyu.edu
=====================
Damien Fair’s Neuroimaging Lab is looking for a candidate with expertise
in neuroimaging, particularly in the field of MRI. While the main focus
of this position is in neuroimaging, candidates with experience in
bioinformatics and software development are highly encouraged to apply.
The position will support a large federally funded longitudinal study to
assess the short- and long-term impact of substance use on brain
development (Adolescent Brain Cognitive Development Study). The work
will also include support for other federally funded imaging studies on
the development of attention, learning, and cognition, for both human
and animal model brain imaging. The incumbent will be heavily involved
in programming and software development for these integrated structural
and functional brain imaging studies. The incumbent will also be
involved with data collection and analysis.
A successful applicant must be able to work well independently, also in
a team, and to communicate clearly in a collaborative environment with a
diverse range of experiences and disciplines. She/he must also have
familiarity with different tools to process and analyze large datasets
of structural and functional neuroimaging data, as well as a documented
history of software development and support. The selected applicant will
implement and execute reusable data processing pipelines, develop and
improve current workflows and QA pipelines that will be released to
external labs and assist in the standardization of data sharing
infrastructure across different institutions. The applicant will be
responsible for managing software development, support, documentation,
and using software engineering best practices.
Links:
ABCD Study
http://addictionresearch.nih.gov/adolescent-brain-cognitive-development-stu…
Job Posting IRC50111 (best viewed in Internet Explorer)
https://ais.ohsu.edu/OA_HTML/OA.jsp?page=/oracle/apps/irc/candidateSelfServ…..
=======================
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.
======================
The Olin Neuropsychiatry Research Center (http://nrc-iol.org) located at
Hartford Hospital is looking for a research assistant II/programmer to
assist with neuroinformatics development. The Olin Center is a 40 person
department, opened in 2003 at the Institute of Living. We have a Siemens
Skyra 3T whole-body MRI, EEG, and TMS suites. We are looking for someone
to help develop the Neuroinformatics Database
(http://github.com/gbook/nidb), manage neuroimaging data, and assist
with the programming of automated neuroimaging processing systems. The
primary focus of the position will be developing and maintaining imaging
and non-imaging databases, but duties will also include responding to
support requests, training, documentation, and bug fixing. Candidate is
expected to have a bachelor’s degree in computer science or engineering,
and experience with programming and/or SQL databases required.
Experience programming PHP, Perl, HTML, SQL, in a Linux environment is
strongly preferred. Neuroimaging experience (you’re reading this from a
neuroimaging mailing list!) is also preferred, but not necessary.
Contact Greg at gregory.book(a)hhchealth.org
==============================
Note some have to be applied for THIS week
======================
Applications are invited for a three-year PhD studentship at the
Department of Psychology at Royal Holloway University of London under
the supervision of Dr. Angelika Lingnau. In this project, we will use
representational similarity analysis (RSA) and multivariate pattern
analysis (MPVA) of fMRI data to examine organizing principles of
observed actions (see also
https://sites.google.com/site/angelikalingnau/home).
The Department is supported by excellent facilities, including a
research-dedicated 3T MRI scanner, EEG and TMS labs. The Department is
ranked 6th out of 82 Psychology Departments in the UK in the 2014
Research Excellence Framework (REF), 93% of our research is classified
as world-leading or internationally excellent.
Closing date for applications: December 7th.
Informal inquiries should be sent to Dr. Angelika Lingnau
(angelika.lingnau(a)rhul.ac.uk).
========================
The German Center for Neurodegenerative Diseases (DZNE) is a center of
excellence within the
Helmholtz Association that performs translational research on
Neurodegenerative Diseases. The
center includes nine high-performing sites in Bonn, Berlin, Dresden,
Göttingen, Magdeburg, Munich,
Rostock/Greifswald, Tübingen and Witten.
Within the area of clinical research we have a position for a
PhD position (f/m) Neuro Image Analysis – Code 1347/2015/11
Description:
You will work in an interdisciplinary team in Bonn focused on Clinical
Research. Clinical research at
the DZNE aims to investigate causes and preclinical biomarkers of
neurodegenerative diseases, and
to study normal and pathological brain structure and function in
neurodegenerative diseases. To this
end the team, led by Prof. Thomas Klockgether, Director of Clinical
Research of the DZNE is currently
establishing several clinical studies including MR-imaging in a
multi-center and single site setting. The
study facility in Bonn will encompass state-of-the art apparatus
including 3T MRI scanners (Siemens
Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and
large data storage and
computational resources.
We invite applications for a PhD project on multimodal brain imaging in
Neurodegenerative Diseases
(e.g. spinocerebellar ataxia) in the Clinical Research Group at the
German Center of
Neurodegenerative Diseases, DZNE, Bonn, Germany.
Within the framework of multicenter studies the project aims to
investigate the structural and
functional trace of Neurodegenerative Diseases (e.g. spinocerebellar
ataxia) in the human brain.
Available methods include resting state fMRI, DTI and morphometry.
Interested candidates are
encouraged to develop computational modelling skills.
Qualifications and experience:
We are looking for highly motivated candidates with a Master’s degree
(or equivalent) in
neuroscience, psychology, biology, or a related field, and with a strong
interest in neurodegenerative
diseases. Programming skills in Matlab and experience with resting-state
fMRI are an advantage.
Demonstrable interest in quantitative research, strong analytical
skills, ability for independent and
critical thinking, and excellent communication and writing skills in the
English language are a
prerequisite. Creative, highly motivated and team-oriented candidates,
who dare to take initiative
and enjoy working in a fast-growing, dynamic research environment in an
internationally oriented
biomedical institution, are strongly encouraged to apply.
We offer:
An interesting and challenging task in a research center that works on
the future topics of health
research
An international environment characterized by a strong focus on science
and research
A high potential for the individual development of our employees
Targeted personnel development
A full-time position, initially temporary limited to two year
Employment, payment and social benefits are consistent with those at
other research institutesJob location is Bonn, Germany. Common language
at work is English or German. The DZNE is an equal
opportunity employer. The DZNE especially welcomes and encourages
disabled individuals to apply.
Interested candidates should send their applications including CV with
transcripts or degree
certificates, a brief statement of research interests and contact
details of two referees in a single file
to: application(a)dzne.de
References may be taken up as part of the candidate selection and prior
to interview. Applicants who
do not wish referees to be contacted without prior notice and consent
should make this explicitly
clear on their application.
==========================
This 4-year full-time BBSRC DTP studentship provides full support for
tuition fees, annual tax-free stipend at Research Council UK rates
(currently £14, 057). The project is due to commence September 2016 and
is open to UK/EU nationals only due to the nature of the funding.
About the project:
The brain is a prediction machine, using internal models to predict
future outcomes, and errors in prediction to optimise internal models
(Clark, 2013). To optimise our decision-making in an uncertain world,
our brains compute two key computational signals when we learn what to
expect from the world around us. The first, called Salience Prediction
Errors, are errors in predicting important outcomes regardless of their
valence. The second, called Reward Prediction errors, are errors in
predicting the valence of outcomes. These errors are expressed as early
ERPs.
This project will further our understanding of the neural expression of
errors in learning. In a series of EEG studies we will utilise a
combination of psychological and physiological manipulations to probe
the nature of the ERPs corresponding to salience and reward prediction
errors.
Supervisors: Talmi & El-Deredy
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=67758&LID=1033
=========================================
I am advertising a 4-year PhD scholarship starting in September 2016 at
the University of St Andrews. The fMRI project will identify subcortical
structures that carry gaze direction signals for visual localization and
spatial attention. The project is at the interface between cognitive
neuroscience and medical physics. The student will be supervised by Dr
Daniela Balslev from the University of St Andrews and Dr Ian Cavin from
the University of Dundee & NHS Tayside Department of Medical Physics.
The project
http://www.eastscotbiodtp.ac.uk/subcortical-pathways-gaze-direction-signals
How to apply
http://www.eastscotbiodtp.ac.uk/how-apply-0
Deadline: December 14 at 5 pm
Contact
daniela.balslev(a)st-andrews.ac.uk
----
Regards,
Daniela
---
Daniela Balslev, MD, PhD
Lecturer
School of Psychology and Neuroscience
University of St Andrews
St Mary's Quad
South Street
St. Andrews
KY16 9JP
United Kingdom
phone +44 (0)1334 462097
fax +44 (0)1334 463042
daniela.balslev(a)st-andrews.ac.uk
www.danielabalslev.dk
====================================
We are inviting applications for an MRC funded PhD studentship on “The
role of motor systems on the functional neural organisation of language
processing: Cross-linguistic evidence from sign and speech” with Dr
Cheryl Capek, Dr Gorana Pobric and Prof Shaheen Hamdy at the University
of Manchester. The project will use behavioural, MEP, TMS and fMRI
techniques.
This 3.5-year full-time MRC DTP studentship provides full support for
tuition fees, annual tax-free stipend at Research Council UK rates
(currently £14, 057) and conference/travel allowance. The project is due
to commence October 2016 and is open to UK/EU nationals only due to the
nature of the funding.
Application deadline: Wednesday, 25 November 2015
For full details, please see:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=67608&LID=2473
With best wishes,
Cheryl
Capek: http://www.manchester.ac.uk/research/cheryl.capek/
Pobric: http://www.manchester.ac.uk/research/gorana.pobric/
Hamdy: http://www.manchester.ac.uk/research/shaheen.hamdy/
Cheryl Capek, PhD
Lecturer & MSc in Neuroimaging for Clinical & Cognitive Neuroscience
(NCCN) Director
School of Psychological Sciences
Zochonis Building
University of Manchester
Manchester M13 9PL, UK
Email: cheryl.capek(a)manchester.ac.uk
Phone: +44 (0) 161 306 0445
======================
We are pleased to invite applications for a Medical Research Council
funded PhD opportunity at the University of Manchester. This project
will use novel measures to chart changes in behavioural and brain
function in stroke aphasia from the acute to the chronic phase, with the
goal of improved prediction of patient outcomes. It will be supervised
by Dr Anna Woollams, Dr Ajay Halai and Professor Matt Lambon Ralph, and
involves participants from our existing large cohort of stroke aphasic
patients.
The successful applicant will join the vibrant postgraduate community of
the Neuroscience and Aphasia Research Unit
(http://sites.psych-sci.manchester.ac.uk/naru/). The studentship covers
all fees and provides an annual stipend of £14,057, plus additional
funding for research training including conferences. This project would
suit those with an interest in working with neuropsychological patients
using structural and functional neuroimaging.
Full details of the project are available here:
http://www.findaphd.com/search/projectDetails.aspx?PJID=67615&LID=1033
Interested candidates are encouraged to make contact with Anna Woollams
(anna.woollams(a)manchester.ac.uk). I am happy to answer any questions
about the project or candidate suitability. We will only consider full
applications received by November 25th.
Best wishes,
Anna W.
Dr Anna Woollams
Senior Lecturer in Cognitive Neuroscience
Neuroscience and Aphasia Research Unit (NARU)
School of Psychological Sciences
Room 3.22, Zochonis Building
University of Manchester
Oxford Road
Manchester
M13 9PL
Tel: 0161 306 0453
=============================
he research group for cognitive neuroscience at the university of Tromsø
is looking for an enthusiastic PhD
candidate who would like to build a 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 PhD will work in the project “Neural and computational correlates of
mind wandering” which has the
ambitious goal to find brain correlates of mind wandering. The project
potentially involves a multitude of
involved techniques and methods such as fMRI, EEG, eye-tracking,
cognitive modeling and advanced statistical
analyses. The project is embedded in an active collaboration between the
research group for cognitive neuro-
science at UiT and Birte Forstmann’s lab at the university of Amsterdam.
Frequent and/or extended visits to
our collaborating group are planned.
The prospective candidate must hold a Master or equivalent in
psychology, informatics, physics or other areas
relevant to the research project. Experience with any of the
abovementioned techniques techniques will count
in favour of the candidate as will experience with programming in any
programming language.
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 at the
university of Tromsø.
We encourage interested candidates to contact Matthias Mittner for
further information about the project.
Research group's Website: http://uit.no/research/cognitive-neuroscience
Official announcement and application:
http://www.jobbnorge.no/ledige-stillinger/stilling/119210/
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
================================
Dear colleagues,
The Translational Neuromodeling Unit at the Swiss Federal Institute of
Technology (ETH Zurich) invites applications for a PhD student position.
The project will focus on NMDA receptors and fatigue in Multiple Sclerosis.
Please see the details about the available position below.
Best regards,
Gabor Stefanics
Open position for a doctoral student (PhD) at TNU Zurich
The Translational Neuromodeling Unit (TNU; Director: Prof. K.E. Stephan)
is a division of the Institute of Biomedical Engineering at the
University of Zurich and the Swiss Federal Institute of Technology (ETH
Zurich). Its mission is to translate advances in computational
neuroscience into diagnostic tools for psychiatry and neurology. To this
end, the TNU brings together computational scientists, psychologists and
clinicians who jointly develop mathematical models of maladaptive
behaviour and brain disease, and evaluate their diagnostic use in
patient studies. For more information, see
http://www.translationalneuromodeling.org.
Within a custom-designed building, the TNU houses a research clinic with
a wide range of experimental facilities (EEG, eye-tracking,
pharmacological, psychophysics and behavioural labs).
The TNU invites applications for a
Doctoral student (PhD) position (duration 3 years)
The topic of this PhD project concerns investigations of
pathophysiological mechanisms in Multiple Sclerosis (MS) by
computational neuroimaging, with a particular focus on (i) EEG
investigations of the role of NMDA receptors in MS, and (ii) fMRI
studies of mechanisms of fatigue in MS. The project involves both data
collection (EEG and fMRI) in patients and healthy controls, as well as
advanced data analysis based on neurobiologically informed computational
models for inferring on connectivity and synaptic processes. The ideal
candidate for this position has a strong interest in clinically relevant
empirical research, as well as an ambition to develop skills in
computational modelling.
Qualifications and requirements:
• education in a relevant field (e.g., Psychology, Biology, Medicine,
Neuroscience, Statistics, Physics, Computer Science, or Engineering)
• good programming skills
• fluent German and English
• ability to work independently
• a team player attitude
Additionally, the ideal applicant has experience with:
• EEG and fMRI (data collection and analysis)
• working with patients
• solid statistical knowledge
The project will start as soon as possible after January 2016. The
salary will be in the range recommended by the Swiss National Science
Foundation (approximately CHF 50,000 p.a.).
The TNU, located in central Zurich, offers a young, collegial and highly
international community, and an exciting interdisciplinary scientific
environment at the intersection between computational neuroscience,
psychiatry and neurology.
Interested students should submit their applications including CV, names
and contact information of two references, and a short letter of
motivation (outlining their interests and explaining why they meet the
above requirements) by email in a single pdf to Gabor Stefanics
(tnu-jobs(a)biomed.ee.ethz.ch). Applications which do not fulfil these
formal criteria will not be considered. Shortlisted applicants will be
invited for interviews. Informal inquiries can be directed to Dr. G.
Stefanics (stefanics(a)biomed.ee.ethz.ch).
Review of applications will begin immediately and will continue until
the position is filled.
=======================
Graduate Training in Brain and Cognitive Sciences at the University of
Rochester
The Department of Brain and Cognitive Sciences (BCS) at the University
of Rochester offers opportunities for students interested in earning a
doctoral degree in one of the most exciting fields of scientific
endeavor. Particular areas of research strength include: language,
perception and action, development and learning, concepts and
categories, and decision-making. Full details can be found at:
http://www.bcs.rochester.edu . Recent news about research done in the
department can be found on its Twitter feed:
https://twitter.com/UoR_BrainCogSci
We seek outstanding candidates from a variety of backgrounds who seek
a rigorous program of study and exceptional mentoring in research. All
students admitted to the program are offered graduate fellowships that
provide a full stipend and cover the costs of tuition and single plan
health insurance.
The Department has a number of new faculty with research programs
focusing on cognitive neuroscience, development of language and
cognition, language learning, theoretical and computational
neuroscience, and visual neuroscience. Interested applicants can find
details at http://www.bcs.rochester.edu/graduate/admission.html
The closing date for applications for admission in Fall 2016 is January
1, 2016.
Neuroimaging facilities include a research-dedicated 3T Siemens MRI
scanner at the Rochester Center for Brain Imaging (RCBI), and also
state-of-the-art NIRS and EEG systems. More information can be found
at http://www.rcbi.rochester.edu
Readers of the SPM list may be particularly interested in work being
done by the following faculty members:
Richard Aslin (fMRI and NIRS)
http://www.bcs.rochester.edu/people/aslin/r_aslin.html
Jessica Cantlon (fMRI)
http://caoslab.bcs.rochester.edu
Brad Mahon (fMRI)
http://caoslab.bcs.rochester.edu
Rajeev Raizada (fMRI)
http://raizadalab.org
=========================
Two PhD students “Machine learning analysis of neuroimaging data in
psychiatry”
Job description
The Department of Psychiatry of the University of Amsterdam has
vacancies for two PhD students. The overall aim is to discover
neuroimaging biomarkers to enable personalized medicine by predicting
treatment outcome in psychiatry. Treatment of mood and anxiety
disorders typically consists of pharmacotherapy with SSRIs or cognitive
behavioral therapy (CBT). Both treatments are successful in about half
of the patients. However, a particular patient may benefit more from one
than another treatment based on his or her brain state at baseline. The
aim is to develop neuroimaging biomarkers to determine the best
treatment for a particular patient and thereby increase treatment
success rate. We recently found that machine learning analysis of
functional MRI data can retrospectively predict treatment outcome in
patients with depression on an individual basis. These studies will be
the first to determine whether similar methods are suitable for
prospective treatment selection using established (e.g., SVM) and novel
(e.g., CNN) machine learning techniques. One PhD project will focus on
obsessive-compulsive disorder and one PhD project will focus on
posttraumatic stress disorder. In addition, you will benefit from the
opportunity to analyze recently collected data from related projects.
You will collaborate with neuroscientists, biostatisticians, and
clinicians. The project is funded by a Vidi grant from the Netherlands
Organisation for Scientific Research (NWO/ZonMw).
Requirements
We are looking for highly talented and dedicated PhD students with a
(nearly completed) Master’s degree in a field related to neuroimaging
(e.g., biomedical engineering, biophysics, neuroscience) and/or machine
learning (e.g., artificial intelligence, bioinformatics, computer
science). Excellent candidates from other fields are also encouraged to
apply. You have a strong background in programming (e.g., Matlab,
Python) and preferably experience with machine learning and
neuroimaging. You have good communicative skills for optimal interaction
with patients and clinicians and are well able to work independently as
well as in a team. You are proficient in English in speech and writing.
What we offer
We offer a highly challenging multidisciplinary research project for the
duration of 4 years, state-of-the-art research facilities and excellent
supervision. The starting date is around January 2016. 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. You are going to work for AMC Medical Research BV.
Contact information
For more information regarding the position, you can contact dr. Guido
van Wingen (G.A.vanWingen(a)amc.uva.nl). To apply, please provide a
motivation letter explaining why you are the right candidate, curriculum
vitae, transcript of records including grades, and the names and contact
information of two academic references. Please state in which PhD
project(s) you are interested.
You can only apply online until November 27 via www.amc.nl/vacatures.
=========================
In celebration of our 95th anniversary, the School of Psychology and
Clinical Language Sciences is delighted to invite applications for a
fully funded PhD Studentship in a research project aligned with the
Psychopathology & Affective Neuroscience (PAN) Research Division.
Housed in state-of-the-art facilities including the Centre for
Integrative Neuroscience and Neurodynamics, with research-dedicated MRI,
EEG and TMS laboratories, the School has established itself as a leading
centre for research in the neural mechanisms underlying emotional processes.
The successful candidates will join a thriving postgraduate research
community of more than 70 PhD students who benefit from excellent
support and resources from the School of Psychology and Clinical
Language Sciences (https://www.reading.ac.uk/pcls/) and membership of
the University Graduate School (http://www.reading.ac.uk/graduateschool/).
For more information about the PAN research expertise, potential
applicants are encouraged to contact the PAN Leader, Dr. Carien van
Reekum, quoting PAN:GS16-008 in the subject line. For general
application procedures, please email Postgradpsycls(a)reading.ac.uk.
Eligibility:
Applicants should hold or expect to gain a minimum of a high level
Honours degree or MSc or equivalent in Psychology, Neuroscience, or a
related discipline
Each of these three-year studentships covers fees at the UK/EU rate
and a maintenance stipend of £14,057. International students are welcome
to apply but must be able to pay the difference between UK/EU fees and
international fees.
Funding Details:
Starts October 2016
A 3 year award
UK/EU Tuition fees plus stipend around £14,057 pa
Application Deadline: 30th November 2015
=======================
Applications are invited for an MRC-funded 3.5-year PhD project working
with Dr Jason Taylor and Dr Deborah Talmi at the University of
Manchester. The project will use multimodal neuroimaging methods (EEG,
fMRI) and advanced analysis techniques (dynamic causal modelling, DCM;
representational similarity analysis, RSA) to investigate interactions
between processing fluency and recognition memory (familiarity and
recollection). Start date is October 2016, with full support provided
(MRC DTP scheme) including tuition fees, stipend (£14, 057 pa), and
conference/travel allowance. Due to the nature of the funding, this
position is open to UK/EU nationals only.
The full project description and further information can be found here:
http://www.findaphd.com/search/projectDetails.aspx?PJID=67630&LID=1033
Applications will be considered until 25th November.
Applicants should hold (or be expected to obtain) a minimum upper-second
class undergraduate degree in a related area. A relevant Masters degree
or equivalent research experience would be an advantage.
Please direct applications in the following format to Dr Jason Taylor
(jason.taylor(a)manchester.ac.uk):
• Academic CV
• Official academic transcripts
• Contact details for two suitable referees
• A personal statement (750 words maximum) outlining your suitability
for the study, what you hope to achieve from the PhD and your research
experience to date.
Any questions about the project or application process should also be
directed to Dr Taylor (jason.taylor(a)manchester.ac.uk).
Best wishes,
Jason
-------------------------------------------------------------------
Dr. Jason Taylor
Lecturer
Co-Director MSc Neuroimaging for Clinical & Cognitive Neuroscience
School of Psychological Sciences
The University of Manchester
jason.taylor(a)manchester.ac.uk
JT: http://www.psych-sci.manchester.ac.uk/staff/jasontaylor
DT: http://www.psych-sci.manchester.ac.uk/staff/talmi/
====================
We are looking for a highly motivated candidates with a Master’s degree
(or equivalent) in neuroscience, psychology, biology, or a related
field, and with a strong interest in neurodegenerative diseases for a
PhD-project.
The official job offer is stated below!
Hope to see you soon in Bonn!
Lukas Scheef
______________________________
Dr. med. Dipl. Phys. Lukas Scheef
Clinical Research Group
German Center of Neurodegenerative Disorders (DZNE)
Ernst-Robert-Curtius-Straße 12
53117 Bonn
http://www.dzne.de
Within the area of clinical research we have a position for a
PhD position (f/m) Neuro Image Analysis – Code 1347/2015/11
Description:
You will work in an interdisciplinary team in Bonn focused on Clinical
Research. Clinical research at the DZNE aims to investigate causes and
preclinical biomarkers of neurodegenerative diseases, and to study
normal and pathological brain structure and function in
neurodegenerative diseases. To this end the team, led by Prof. Thomas
Klockgether, Director of Clinical Research of the DZNE is currently
establishing several clinical studies including MR-imaging in a
multi-center and single site setting. The study facility in Bonn will
encompass state-of-the art apparatus including 3T MRI scanners (Siemens
Skyra) as well as a 7T MRI Scanner, advanced bio-banking program and
large data storage and computational resources.
We invite applications for a PhD project on multimodal brain imaging in
Neurodegenerative Diseases (e.g. spinocerebellar ataxia) in the Clinical
Research Group at the German Center of Neurodegenerative Diseases, DZNE,
Bonn, Germany.
Within the framework of multicenter studies the project aims to
investigate the structural and functional trace of Neurodegenerative
Diseases (e.g. spinocerebellar ataxia) in the human brain. Available
methods include resting state fMRI, DTI and morphometry. Interested
candidates are encouraged to develop computational modelling skills.
Qualifications and experience:
We are looking for highly motivated candidates with a Master’s degree
(or equivalent) in neuroscience, psychology, biology, or a related
field, and with a strong interest in neurodegenerative diseases.
Programming skills in Matlab and experience with resting-state fMRI are
an advantage.
Demonstrable interest in quantitative research, strong analytical
skills, ability for independent and critical thinking, and excellent
communication and writing skills in the English language are a
prerequisite. Creative, highly motivated and team-oriented candidates,
who dare to take initiative and enjoy working in a fast-growing, dynamic
research environment in an internationally oriented biomedical
institution, are strongly encouraged to apply.
We offer:
An interesting and challenging task in a research center that
works on the future topics of health research
An international environment characterized by a strong focus on
science and research
A high potential for the individual development of our employees
Targeted personnel development
A full-time position, initially temporary limited to two year
Employment, payment and social benefits are consistent with
those at other research institutes
Job location is Bonn, Germany. Common language at work is English or
German. The DZNE is an equal opportunity employer. The DZNE especially
welcomes and encourages disabled individuals to apply.
Interested candidates should send their applications including CV with
transcripts or degree certificates, a brief statement of research
interests and contact details of two referees in a single file to:
application(a)dzne.de
References may be taken up as part of the candidate selection and prior
to interview. Applicants who do not wish referees to be contacted
without prior notice and consent should make this explicitly clear on
their application.
The German Center for Neurodegenerative Diseases (DZNE) is a center of
excellence within the Helmholtz Association that performs translational
research on Neurodegenerative Diseases. The center includes nine
high-performing sites in Bonn, Berlin, Dresden, Göttingen, Magdeburg,
Munich, Rostock/Greifswald, Tübingen and Witten.
==========================
PhD Studentship: Magnetoencephalography (MEG) Imaging in Dementia with
Lewy Bodies
Department of Psychiatry, University of Cambridge
The Department of Psychiatry, University of Cambridge, is pleased to
announce one PhD Studentship supported by The Lewy Body Society, to
start in October 2016. Applications are welcome.
The PhD project will focus on understanding the underlying
neurobiological processes in Dementia with Lewy Bodies using
Magnetetoencephalography (MEG) and MRI, and will be carried out under
the supervision of Dr Li Su and Professor John O’Brien. The successful
student will join our team at Department of Psychiatry, School of
Clinical Medicine, located at the Cambridge Biomedical Campus on the
Addenbrooke’s site.
The Department has an outstanding international reputation and expertise
in undertaking clinical and neuroimaging studies of neurological and
psychiatric diseases, including dementia, and collaborates closely with
the University departments of radiology, clinical neuroscience and
Wolfson Brain Imaging Centre. The University of Cambridge is
consistently ranked among the top universities in the world. The MEG
scanner is hosted at the highly renowned MRC Cognition and Brain
Sciences Unit (MRC CBSU), one of the only 9 MEG research facilities in
the UK.
The Department welcomes applications with a good degree in experimental
psychology, medicine, neuroscience, statistics, physics, computer
science or a related scientific discipline. The successful applicant
will have some experience of, or good understanding of the issues
involved in, conducting neuroimaging research on clinical populations.
Excellent communication and organisational skills are essential. Due to
the nature of the project, strong competence in quantitative methods and
analytical skills is also essential. Programming skills in Matlab or
similar languages would be desirable.
Applicants for the Studentship should have, or expect to gain a 1st
class or 2.1 class Honours degree in an appropriate subject, and may
also have completed further research training or a Masters degree. The
stipend will be paid at Research Councils UK rates for the 3 year
duration of the award with no fourth year. Only the fees for home/EU
students will be met in full. In addition, the Studentship includes
funding for MEG scanning costs of the research, and costs for travel to
scientific conferences.
To apply, please email the following documents to the Education
Administrator (Sarah Rowe) email: sr724(a)medschl.cam.ac.uk:
i) An academic CV (maximum 2 pages)
ii) Two official academic references (please ask your
referees to send these directly to the Education Administrator)
iii) A research proposal within the remit of MEG imaging in
DLB (maximum 1000 words, excluding bibliography or figures)
iv) A cover letter indicating:
o a brief summary of your research interests and any
completed research conducted;
o a clear summary of your analytical skills and levels;
o a clear statement of your eligibility for this funding
award (see below).
Applications must be received by midnight on 6th Dec 2015. Interviews
are likely to be held on 16th Dec 2015.
Enquiries regarding the administration of the application process, or
potential supervisors, should be directed via email to the Education
Administrator, Sarah Rowe, email:sr724@medschl.cam.ac.uk tel: + 44 (0)
1223 746 105.
FURTHER INFORMATION
Applicants should note the following before submitting their application:
1. Applicants should contact Dr Li Su (email ls514(a)cam.ac.uk) for
further information about the studies programme and supervisory
possibilities. General information about these is available via the
Department of Psychiatry’s website at www.psychiatry.cam.ac.uk/ or via
the Cambridge Neuroscience website at www.neuroscience.cam.ac.uk/ or via
the clinical school website at
www.medschl.cam.ac.uk/research/Themes/neuro.html.
2. Full awards (fees plus maintenance stipend) are open to UK and EU
nationals.
3. For full minimum entry requirements, including fluency in English
language please refer to the Departmental website.
============================
The YNiC Science Committee meeting will be held on Thursday 26th
November at 10am in B101.
The agenda for the meeting is attached.
Many thanks
Sarah
--
Sarah Finch | PA to Gary Green, Director
York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY
01904 435329
Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45
*Sent on behalf of Jonny Smallwood*
The date for the next YNiC Science Committee meeting is Thursday 26th
November at 10am and will be held in B101.
YNiC users are welcome to come along to this meeting to ask questions
and make suggestions about the running of YNiC. If you wish to raise
something, please drop me a line (j
<mailto:beth.jefferies@york.ac.uk>onny.smallwood(a)york.ac.uk
<mailto:onny.smallwood@york.ac.uk>) before the meeting so that I can add
it to the agenda. If you are unable to come along but you want to raise
a point for discussion, that is fine too - just get in touch.
Many thanks
Sarah
--
Sarah Finch | PA to Gary Green, Director
York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY
01904 435329
Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45
Good morning,
Please be advised that there will *not* be a YNiC seminar this week.
The next YNiC seminar will be on Thursday 26th November at 4pm in B020
and will be for all PIs. As a reminder, this seminar will cover the new
operational details for IT and MRI scans within YNiC.
We will present the new scheme for managing disk space; plans for
improving IT services as a whole; the question of MRI hours; MRI
Training for Operators and provide a brief update on the new MRI scanner.
Many thanks
--
Sarah Finch | PA to Gary Green, Director
York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY
01904 435329
Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45
Hi all,
Further to my previous emails, we have had re-occurrences of the
triggering issues in TMS. Unfortunately we are going to have to suspend he
use of the lab for safety reasons until we can get to the bottom of the
issue.
We realise that TMS is currently very busy and will work as a priority to
get everything up and running. However, obviously safety has to be our
primary priority.
We will keep you updated.
Andre'
--
************************************************************************
Andre Gouws
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5NY
Tel: +44 (0) 1904 435328
Fax: +44 (0) 1904 435356
To all YNiC users
With effect from the 1st December 2015 YniC operator cover will be
removed from a number of afternoon MRI sessions. Afternoon sessions have
been selected so that groups with their own operator can extend their
sessions into the early evening making use of time that was previously
not available.
It would be appreciated if all projects/groups that have their own level
1 operator make every effort to book their scans predominantly during
these periods leaving the remaining sessions for those projects that
require a YNiC operator.
Your co-operation in this matter is appreciated.
Ross
Please be advised that there will NOT be a YNiC seminar this week.
Kind regards
--
Sarah Finch | PA to Gary Green, Director
York Neuroimaging Centre | The Biocentre | York Science Park | Heslington | York | YO10 5NY
01904 435329
Working hours are Tues 8.15 -14.45, Weds 8.15-17.15, Thurs 9.30-17.30 and Fri 8.15-14.45
