A computational scientist position is available in the laboratory of Dorina Papageorgiou, Ph.D., MHSc at Baylor College of Medicine (U.S.A.) to study cortical plasticity and repair in patient populations, as a result of neurological injury and/or disease. We use real-time fMRI neurofeedback methods to study cortical visual system rehabilitation and speech rehabilitation in patients with neurological injury, such as stroke, traumatic brain injury, or cancer.
Eligibility Requirements:
1) A Bachelors or Masters of Science in any of the following disciplines: Bioinformatics, Engineering, Biomedical Engineering, Computer Science, or (Bio-)Physics.
2) Scientific programming experience in C/C++ and, Matlab/Python programming and Unix environment
3) Strong interest in any the following areas:
machine learning
fMRI acquisition and analysis
brain-computer interfaces
real-time fMRI neurofeedback methods
multivariate and univariate pattern analysis
functional/effective connectivity
computational modeling
4) Good English communication skills (both written and verbal)
5) Excellent organizational and analytical skills. Ability to collaborate and work in a team.
Job description:
1) Analysis of real-time fMRI neurofeedback data
2) Contribution to experimental design
3) User interface fMRI neurofeedback software development tailored for specific patient applications
Dear all,
I would like to draw your attention to the job posting below. Please
note the application deadline (January 15th 2015).
Thank you very much!
********************************************************************************
*Doctoral Candidate (m/f) (50% E13 TV-L)*
We are looking for a doctoral candidate, who will join the team of the
newly established laboratory “Social Psychology/Decision Neuroscience”
(Prof. Dr. Soyoung Q Park) in the Institute of Psychology, at the
University Lübeck, Germany.
**
This position is for a period of 3 years.
The goal of the lab is to investigate the neural mechanisms underlying
decision making in the human brain with the help of structural and
functional MRI, EEG and brain stimulation. The focus lies on economic
decisions and decisions in social contexts. The research center at the
University of Lübeck offers excellent state-of-the-art interdisciplinary
research facilities and extensive possibilities to international
collaborations.
Successful candidate must hold a degree (Diplom/Master) in psychology or
in related fields (economics, cognitive science, biology, neuroscience,
engineering or other). Experience in acquisition and analysis of human
neuroimaging data (fMRI, EEG or MEG) are desired (e.g. SPM). Excellent
programming skills in Matlab, advanced statistical analysis and
experiences in behavioral modelling will be preferred. Interest and/or
experience in the field of decision neuroscience are obligatory. We are
looking for a highly motivated candidate who enjoys team work and is
self-organized.
The salary level will be adjusted according to the salary scheme of E13
TV-L. The conditions of this position equate 50% of a E13 TV-L position.
The position will be filled as soon as possible.
In order to increase the proportion of female staff members,
applications from female scientists are particularly encouraged.
Applicants with disabilities are preferred if qualification is equal. We
explicitly ask for applications without photographs. The University of
Lübeck welcomes the applications from people with a migration background.
For questions about the details of the assignment please contact Prof.
Dr. Soyoung Park (park(a)ipsy.uni-luebeck.de
<mailto:park@ipsy.uni-luebeck.de>).
Please send your application with all necessary documents as one single
complete PDF file to the Email-address mentioned above. An additional
version with the reference number 1034/14 must be sent to the following
address until *15. January 2015*:
*Universität zu Lübeck – Der Präsident – Dezernat Personal*
*Ratzeburger Allee 160, 23562 Lübeck, Germany*
The Department of Radiology at the University of Minnesota seeks a
post-doctoral associate to be part of the Human Connectome Project (HCP)
(and sub-projects; http://www.humanconnectome.org). The successful
candidate will be employed in the component of the HCP that focuses on
optimization of data acquisitions and data analysis for resting state
and task induced fMRI
(R/T-fMRI), and for high angular resolution diffusion imaging (HARDI) in
different subject populations.
They will be responsible for:
1) Data acquisition and optimization at 3T and 7T.
2) Testing, debugging and optimizing pulse sequences and associated
image qualities at 3T and 7T
3) Resting state and Diffusion Data pre-processing and analysis.
Requirements for this position are:
Essential Experience: Ph.D. or equivalent in physics, computer science
or biomedical engineering, or in neuroscience with extensive experience
in neuroimaging. Must be highly independent and self-motivated, but at
the same time able to work within a Multi-Institutional team. Experience
with fMRI data Analysis. Experience with Siemens MR operating systems,
including data acquisition at high field.
The candidate must present excellent analytical, problem solving and
interpersonal skills
Preferred Experience: Experience in the development and use of Pulse
Sequences in the Siemens Platform. Excellent written and oral
communication skills.
Applicants for this position must submit a curriculum vita and three
references to:
Dr. Essa Yacoub
Center for Magnetic Resonance Research
2021 6th Street SE
Minneapolis, MN 55455
yacoub(a)cmrr.umn.edu <mailto:yacoub@cmrr.umn.edu>
For additional information see:
https://employment.umn.edu/applicants/jsp/shared/search/Search_css.jsp
Requisition Number 195139
Several postdoctoral positions are available in the Department of
Biomedical Engineering, Shenzhen University (SZU).
Image Registration: The successful candidate should have a strong
background on Biomedical Engineering, Electronic Engineering, Computer
Science, or related majors, preferably with emphasis on image processing
and computer vision. Experience on medical image registration and
analysis 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/C++,
Python, Matlab, etc.) is desirable. The research topic will be the
development and validation of 3D/4D/group-wise image registration methods.
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.
These positions are created in cooperation with Biomedical Research
Imaging Center (BRIC) at the University of North Carolina at Chapel Hill
(UNC). Fluent English is a must for the applicant. The candidate is
expected to work in both SZU and UNC. The successful candidates will be
part of a diverse group including radiologists, psychologists,
physicists, biostatistician, and computer scientists. We offer
competitive salaries & benefits.
If interested, please contact Dr. Dong Ni (nidong(a)szu.edu.cn
<mailto:nidong@szu.edu.cn>).
The Spinoza Centre for Neuroimaging has a postdoctoral position
available for an MRI Physicist / Scientist in Neuroimaging full time (38
hours/week) to develop innovative functional and morphological imaging
methods for investigating the physical and biological basis of the brain
in health and disease.
Requirements
The research will be performed with state-of-the-art human 3T and 7T MRI
scanners. The candidate holds a Ph.D. in physics, engineering, or
related field. Solid knowledge of NMR/MRI physics and experience in MRI
pulse sequence development are essential, as is hands-on experience with
ultra-high field MRI. Skills in mathematics, scientific computing, and
programming are desirable. The position is ideal for those seeking
opportunities to contribute to medical research in human subjects.
The Spinoza Centre
The SC offers a resourceful and stimulating scientific environment. The
SC houses 3T and 7T whole-body Philips MRI scanners that are dedicated
to research. The candidate will have full access to resources at SC for
research and career development. She or he will have the opportunity and
be supported to pursue independent research related to this position.
(For full text download pdf here:
https://www.dropbox.com/s/gixc6v5i2nzibsn/MRIpostdoc_opening_SpinozaCentre_…
)
Kind regards,
Pieter Buur
Pieter F. Buur, PhD
MR physicist
Spinoza Centre for Neuroimaging
www.spinozacentre.nl
Meibergdreef 75
1105 BK, Amsterdam
The Netherlands
Tel +31 20 5665500
Applications are now being accepted for a Postdoctoral Fellowship
position at the Human Performance and Engineering Lab at Kessler
Foundation, West Orange, NJ in collaboration with New Jersey Medical
School of Rutgers University. The 2-3 year program prepares biomedical
scientists, including engineers (e.g. biomedical, electrical,
rehabilitation), neuroscientists, kinesiologists, and those in related
fields, for a career in rehabilitation research within the specialty
area of neuromuscular rehabilitation. The successful candidate will work
principally on a 5 year NIH funded research study aimed at investigating
the neurophysiological effect of mental and physical training on
mitigating cancer- and/or cancer treatment-related weakness. The
successful applicant will also be expected to develop his/her own
mentored research project as well as have the opportunity to work on
other projects in neuromuscular rehabilitation in diverse patient
populations including traumatic brain injury, multiple sclerosis, spinal
cord injury and stroke. He/she will work on various aspects of research
projects from inception (e.g., study formulation, grant-writing, etc.),
through dissemination (conference presentation and manuscript
publication). Opportunities of collaborating with clinicians on existing
or future clinical research are also available. All fellows participate
in an extensive training curriculum and didactic offerings.
Multidisciplinary mentored training opportunities are individually
tailored to achieve specific goals considering each fellowâ??s prior
background and interests.
Applicants with specific interests and/or experience in the following
areas are highly encouraged to apply: Neuromuscular rehabilitation;
biomedical signal processing (e.g., EEG, TMS and EMG); brain and muscle
electrophysiology; functional and structural MRI.
Qualified candidates must have an earned doctorate in biomedical
engineering, neuroscience, kinesiology or a related field with a
background in signal processing or/and image processing (EEG, MRI,
fMRI). Working knowledge of at least one programming language is
mandatory. Preferences will be given to candidates with expertise in
Matlab programming as well as image processing software such as EEGLAB,
FSL, AFNI. Strong candidates will have prior experience in performing
research studies in human subjects, as well as some history of
publication and presentation of original research. Additional desirable
skills and experience include: experience with EEG/EMG data collection
and analysis, biomedical instrumentation, ability to independently
develop data processing/analysis methods, knowledge of statistical data
analysis, and excellent written communication skills.
The Kessler Foundation Research Center is a division of Kessler
Foundation, a public charity that advances its mission of improving the
lives of people with disabilities through research and grant-making
programs. The Kessler Foundation Research Center is affiliated with the
renowned Kessler Institute for Rehabilitation in West Orange, New Jersey
and enjoys close collaborations with partners at the New Jersey
Institute of Technology, Rutgers University, Seton Hall University, New
York University, and the University of Delaware. Kessler Foundation is
one of the few rehabilitation institutions in the United States who has
a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco
Ortenzio Neuroimaging Center. This offers unique research opportunities
and training in neuroimaging. Applicants are encouraged to visit the
Foundation website (http://www.kesslerfoundation.org/research ) to learn
about the missions, activities, and resources and its laboratories, in
particular the Human Performance and Engineering Lab.
Administration of the ARRT fellowships occurs under the Department of
Physical Medicine and Rehabilitation at the New Jersey Medical School of
Rutgers University in Newark. As such, fellows enjoy the benefits and
academic resources available to all post-doctoral fellows at the Medical
School. Fellows may also be recommended for an academic appointment at
the rank of Instructor.
Principal Investigator: Dr. Guang Yue, Ph.D.
To apply, please send your CV, a letter of interest to Dr. Allexandre at
dallexandre(a)kesslerfoundation.org
<mailto:dallexandre@kesslerfoundation.org>. Please include the reference
number â??HPEL01-eeglabâ?? in your application.
APPLICATION DEADLINE: 2/15/2015 or until filled
We are equal opportunity employers.
Kessler Foundation Signature
Kessler Foundation Facebook Page
<http://www.facebook.com/?ref=home#%21/pages/Kessler-Foundation/123330414345…>
Kessler Foundation You Tube
<http://www.youtube.com/user/KesslerFoundation> Kessler Foundation
Research Twitter Page <http://www.twitter.com/KesslerFound>
The information in this transmission is intended for official use of the
Kessler Foundation. It is intended for the exclusive use of the persons
or entities to which it is addressed. If you are not an intended
recipient or the employee or agent responsible for delivering this
transmission to an intended recipient, be aware that any disclosure,
dissemination, distribution or copying of this communication, or the use
of its contents, is strictly prohibited. If you received this
transmission in error, please notify the sender by return e-mail and
delete the material from any computer.
*Vice-Chancellor's Fellowships*
Grade 8: £38,511 to £45,954 per annum, with potential to progress to
£51,702 per annum through sustained exceptional contribution
Open-ended with a start date of 1 October 2015
Ref: UOS009778
All faculties in the University of Sheffield
Candidates are welcome to submit applications to hold this post in
participating departments within any faculty or as an interdisciplinary
researcher
Location: Main Campus
In order to maintain our position at the forefront of academia,
Professor Sir Keith Burnett, Vice-Chancellor of the University of
Sheffield, has created up to twenty Vice-Chancellor's Fellowship
positions. These are open to candidates with a track record of the
highest calibre research and who have the potential to be research
leaders of the future in any academic area. Vice-Chancellor's
Fellowships support researchers in the development of their programme of
research. We particularly encourage: research proposals of an
interdisciplinary nature that cross boundaries between different fields
of research; pioneering proposals that address new and emerging fields
of research; and proposals that introduce unconventional, innovative
approaches and scientific inventions.
As a Vice-Chancellor's Fellow, you will use your research, skills,
knowledge and expertise to contribute and complement the aims of your
Department. Your immediate priority will be to establish a programme of
personal research, which will attract external funding, in order to
develop research of international standing. You will build, lead and
manage your programme of research, undertake a significant piece of
publishable research, and commit significant time and effort in managing
future research activity.
You will develop your reputation through publication in the
highest-quality journals (or other appropriate form of publication as
appropriate to your discipline) and attendance at national and
international conferences, along with a range of other professional
activities. You will be an active contributor to the University's
research community and will take on supervision and leadership roles
commensurate with your skills and experience. You will supervise and
provide pastoral care or guidance to students, and engage in teaching
and administration duties associated with PhD supervision. You will be
expected to work toward gaining Fellowship of the Higher Education
Academy and will be expected to align your work to departmental teaching
and administrative duties. You will help to raise the profile of the
University through civic engagement activities. As a Fellow you will be
both aspirational about your career and inspirational to others. You
will place strong emphasis on your personal development by committing to
a rigorous development plan.
You must show the potential for research independence and evidence of
research maturity. A PhD in a relevant subject area is essential. You
must have produced and published at least one important publication
without the participation of your PhD supervisor (at the time of
application). You should demonstrate a promising track record of early
achievements appropriate to your research field and career stage,
including significant publications (as main author) in your respective
field. You may also be able to demonstrate a record of invited
presentations at well-established international conferences, and awards
of grants and prizes.
A Research Support Grant will be provided to support your preliminary
research. The amount awarded will be decided on a case-by-case basis,
and determined by your estimation of research 'running costs' in the
first eighteen months of appointment. In all cases, £3,000 will be
ring-fenced for costs associated with the publication and dissemination
of your research. You will be supported individually and as a cohort,
through monthly personal and professional development training. You will
be mentored by an internationally excellent academic who is around ten
years ahead in career terms. After the four-year Fellowship period of
this post you will become a Lecturer or Senior Lecturer.
These are open-ended appointments with a start date of 1 October 2015.
For further information please go to:
www.sheffield.ac.uk/ris/vcfellows/vcf2015
<http://www.sheffield.ac.uk/ris/vcfellows/vcf2015>
*Closing date: 29 January 2015.*
--
*Lecturers in Psychology (Two posts) Ref: FST59*
Starting salary from £32,277 - £37,394 per annum with further
progression opportunities to £40,847
Bournemouth University is creating the most stimulating, challenging and
rewarding university experience in a world-class learning community by
sharing our unique fusion of excellent education, research and
professional practice and inspiring our students, graduates and staff to
enrich the world.
Over the past five years Psychology has undergone a period of rapid
expansion resulting in a vibrant research and learning culture. We
currently have two research groups in 'Cognition' (with laboratories in
Attention & Memory, Face Processing, and Visual Cognition) and 'Health
and Wellbeing' (with specialisms in Eating Behaviour, Wellbeing in Older
Adults, and Clinical Psychology).
We also have emerging and potential research growth in Eye tracking,
Cyberpsychology, Forensic Psychology and eHealth. Facilities supporting
our teaching and research include mobile and static eye tracking,
virtual environments, and a new state-of-the-art EEG laboratory. We are
keen to receive applications from candidates who complement these areas
of research strength and / or have experience of using such facilities.
You will be qualified to Doctorate level or be able to demonstrate the
ability to create and disseminate knowledge at an equivalent level and
the capability to convert this knowledge into a doctorate in a maximum
of 3-5 years from the date of appointment. You will be research active
and committed to a culture of academic excellence and continuous
improvement.
For an informal discussion please contact Associate Professor Jacqui
Taylor on 01202 965313 or email jtaylor(a)bournemouth.ac.uk
<mailto:jtaylor@bournemouth.ac.uk>
A detailed job description and person specification are available from
our website together with an online application form. Alternatively,
please telephone 01202 961130 (24 hour answerphone) quoting the
appropriate reference.
*Closing date: (midnight) Wednesday 21 January 2015*
*Please find enclose a 2 years Post Doctoral position at the
Neurofunctional Imaging Group in Bordeaux - France*
The Neurofunctional Imaging Group (GIN) is a CNRS-CEA joint research
unit of the Bordeaux University (UMR 5296, dir. Bernard Mazoyer) and a
core member of the TRAIL
<http://trail.labex-univ-bordeaux.fr/> Laboratory of Excellence. The GIN
is a multidisciplinary research unit gathering scientists with initial
training in mathematics and instrumentation, cognitive neurosciences,
signal processing and databasing.
One objective of the current GIN research project is to develop new
tools to characterize and describe the gray matter anatomical
connectivity networks. Within this area we have a position for a 2 years
Post Doc.
*Description of the position*
Recent work on brain connectivity modeling revealed that the topographic
organization of this connectivity is not limited to large-scale
anatomical pathways generally observable in diffusion MRI, thus
reinforcing the interest of studies focusing on the characterization of
cortical structural connectivity and its variability. Therefore, the
estimation of relevant grey matter connectomes strongly relies on the
choice of an ad'hoc cerebral parcellisation.
We propose a post doc project to first implement a probabilistic
cortical atlas derived from cortical parcellisations defined
individually to optimally extract cortical thickness and volume of each
individual. The second aim of the post doc project is to compute
cortical structural connectivity to quantify the inter-individual
variability of brain organization together with the effects of specific
factors such as gender, manual preference, functional lateralization or
cognitive skills. The strength of the present project is that it will
benefits from the already acquired BIL&GIN database composed of 453
healthy volunteers balanced for gender and handedness. Hence, the first
probabilistic cortical atlas will be operated over a large sample, the
453 participants having been previously pre-processed.
*Qualification and experience***
The qualified applicant should have a PhD in neuro-image analysis,
cognitive neuroscience, computer science or related field and a
background in neuroimage processing. Applicants should have experience
with existing tools for analysis of neuroimaging data (SPM, FSL,
Freesurfer.) and a relevant programming experience (MATLAB).
For further information, please contact Dr. Fabrice Crivello
(fabrice.crivello(a)u-bordeaux2.fr <mailto:fabrice.crivello@u-bordeaux2.fr>).
Employment and payment are determined by Bordeaux University (2 400 €
per month, net salary). Job location is in Bordeaux, France. Interested
candidates should send their applications including CV with full
publication list, the names and contact information and a summary of
research interests to fabrice.crivello(a)u-bordeaux2.fr
<mailto:fabrice.crivello@u-bordeaux2.fr>.
Dr. Fabrice CRIVELLO
Groupe d'Imagerie Neurofonctionnelle
UMR 5296 - CNRS CEA Université Bordeaux
Université de Bordeaux
146, rue Léo Saignat
CS 61292
33076 Bordeaux Cedex
Mob : +33 681 064 753
Tel : +33 547 304 402
Fax : +33 547 304 394
www.gin.cnrs.fr <http://www.gin.cnrs.fr>
See my publications : https://www.researchgate.net/profile/Fabrice_Crivello
Reply-To: Alexa Morcom <alexa.morcom(a)ED.AC.UK>
To: SPM(a)JISCMAIL.AC.UK
Studentships at Edinburgh in cognitive ageing, including cognitive
neuroscience and imaging projects (EEG and f/MRI)
Alexa
---
*PhD Studentships - Centre for Cognitive Ageing & Cognitive
Epidemiology, Edinburgh*
www.ccace.ed.ac.uk/node/279 <http://www.ccace.ed.ac.uk/node/279>
The studentships are being offered in cognitive ageing/cognitive
epidemiology or experimental and human neuroscience and the
ageing brain. A number of projects spanning the Centre's 6 research
groups are available: Cognitive Epidemiology, Human cognitive
ageing:Individual differences, Human cognitive ageing: Human cognitive
neuropsychology, Mechanisms of cognitive ageing, Genetics, genomics and
epigenetics: Experimental, pathway and statistical analysis in brain
ageing, Human and animal brain imaging
/Closing date:/ 30th January 2015
--
Dr. Alexa Morcom
---
Lecturer in Human Cognitive Neuroscience
Centre for Cognitive Ageing & Cognitive Epidemiology
Psychology, University of Edinburgh
http://www.ppls.ed.ac.uk/people/alexa-morcom
<http://www.ccns.sbms.mvm.ed.ac.uk/people/academic/morcom.html>
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336
The MRC Cognition & Brain Sciences Unit in Cambridge, UK, is recruit a
Programme Leader / Programme Leader Track position. For details, see
http://www.topcareer.jobs/Vacancy/irc172153_5003.aspx
Thank you
-------------------------------------------------------
Professor Richard Henson
Deputy Director
MRC Cognition & Brain Sciences Unit
15 Chaucer Road
Cambridge, CB2 7EF
England
EMAIL: rik.henson(a)mrc-cbu.cam.ac.uk <mailto:rik.henson@mrc-cbu.cam.ac.uk>
URL: http://www.mrc-cbu.cam.ac.uk/people/rik.henson/personal
TEL +44 (0)1223 355 294 x501
FAX +44 (0)1223 359 062
MOB +44 (0)794 1377 345
-------------------------------------------------------
*Memory Aging & Cognition Centre (MACC)*
**
*/Research Fellow/Senior Research Fellow in Neuroimaging/*
**
The Memory Aging & Cognition Centre (MACC) is a Research Center within
the National University Health System funded by the Singapore National
Medical Research Council that focuses on the study of dementia and
cognitive impairment in the elderly. The MACC currently has 4 research
themes on biomarker discovery, neuroimaging, clinical assessment and
epidemiology(http://www.nuhs.edu.sg/research/programmatic-research/major-research-programs/vascular-and-neurodegenerative-mechanisms-in-dementia.html).
There is an opportunity for a qualified candidate with interests in
Neuroimaging to join the MACC in a Research Fellow/Senior Research
Fellow tostudy the neural basis of cognition and associated
vulnerability patterns in neurodegenerative and cerebrovascular
diseases. There is access to a 3T MR, MR-PET and retinal imaging.
The candidate must possess either 1) a Basic Medical Degree (MBBS, MD,
MD/PhD) and recognized postgraduate qualifications in Radiology OR 2) a
PhD degree, which must include appropriate postgraduate training and
experience in Neuroimaging.The candidate must have a good record of
research accomplishments in Neuroimaging –preferably but not exclusively
in dementia or cognitive impairment. The candidate should possess the
ability to work independently in a highly collaborative and
international research environment, and be able to demonstrate
initiative, creativity, technical independence and excellent
communication skills. Proven skills in MRI data analyses is a plus but
not necessary.The successful candidate will be expected to take on a
leadership role in neuroimaging research projects within the MACC under
the supervision of the MACC Director and MACC PIs and collaborators in
NUHS and Duke-NUS, as well as to undertake independent research.
Remuneration will be competitive and commensurate with qualification and
experience.
Interested candidates are to submit a full CV, including research
statement and names of 3 referees together with medical testimonials and
certificate of registration to:
Mr Yudi Wisantoso
Assistant Manager to A/P Christopher Chen Li Hsian
Memory Aging & Cognition Centre (MACC)
Department of Pharmacology
Yong Loo Lin School of Medicine
National University of Singapore
Block MD11 #05-09, 10 Medical Drive
Singapore 117597
DID: 65-6772 6086
E-mail: phcyw(a)nus.edu.sg <mailto:phcyw@nus.edu.sg>
Senior Lecturer/Lecturer
The Institute of Neuroscience and Psychology (INP) is grounded in research excellence, particularly, cognitive neuroimaging, social interactions and stroke and supported by a unique imaging and computing infrastructure in Scotland and competitive in the UK and internationally.
Applications are invited from individuals with an excellent research record. The post is designed to complement existing research strengths in INP.
Ref: 009801
You will develop and lead a programme of world-class research focussed on cognitive Neuroimaging whilst contributing to high quality teaching. The main criteria are research excellence and leadership potential. The research programme should align with the strategic objectives of the Centre for Cognitive Neuroimaging (CCNi) by contributing to the areas of computational, cognitive, clinical or developmental Neuroimaging.
Ref: 009802
You will develop a programme of world-class research in social robotics or a related area and to contribute to high quality teaching in the area. The main criteria are research excellence and leadership potential. The research programme should align with the strategic objectives of the Centre for Social Interactions (CSI) by contributing to the implementation of mechanisms of social interaction in robots.
Informal enquiries may be made to Philippe Schyns (Director of Institute, +44 141 330 4937, philippe(a)psy.gla.ac.uk) or Joachim Gross (Acting Director of CCNi, +44 141 330 3947, joachim(a)psy.gla.ac.uk) or Simon Garrod (Director of CSI).
Apply online at www.glasgow.ac.uk/jobs
Closing date: 18 January 2015.
Dear all (with apologies for cross-posting)
Within the mathematics and computer science department we are seeking to
appoint three new research fellows. One in the area of mathematical
neuroscience, one in mathematical neuroendocrinology and one in more
general systems biology. Full details are available here:
http://www.jobs.ac.uk/enhanced/linking/university-of-exeter/
I'd be very grateful if you could forward this onto potentially
interested parties.
All the best
John
--
** REGISTER FOR BIO-DYNAMICS 2015 NOW - http://www.bio-dynamics.org/ **
--
John R. Terry
Professor of Biomedical Modelling
Director of Research (Mathematics and Computer Science)
College of Engineering, Mathematics and Physical Sciences
University of Exeter
Exeter, Devon
EX4 4QF, UK
tel: +44 (0) 1392 725 274
email: j.terry(a)exeter.ac.uk <mailto:j.terry@exeter.ac.uk>
web: http://emps.exeter.ac.uk/mathematics/staff/jt354http://www.bio-dynamics.org/
We are seeking an enthusiastic and motivated candidate for a PhD project beginning in the first half of 2015. The project is a joint initiative of the Melbourne Neuropsychiatry Centre (Department of Psychiatry) and the Melbourne School of Psychological Sciences, The University of Melbourne, and the Murdoch Childrens Research Institute, Victoria, Australia. The candidate, supervised by Dr. Sarah Whittle, will be required to contribute to a unique longitudinal study that aims to investigate the association between puberty, brain development, and mental health, from late childhood to mid-adolescence. The successful candidate will have the opportunity to craft a thesis topic that suits their interests, and may utilise a range of data being collected, including structural and functional imaging, hormonal, environmental (e.g., parenting), and mental health data.
We welcome enquiries from students with their own funding. However, for the right applicant, the position may be funded at the equivalent rate of an Australian Postgraduate Award.
The successful applicant should have an undergraduate and/or honours degree in a relevant field, have good results (first or upper second class honours or equivalent) and/or have relevant research experience. Experience in clinical interviewing, endocrinology, or structural or functional MRI analysis will be looked upon favourably.
Further detail about this project is available upon request: swhittle(a)unimelb.edu.au
See the following link for further information about The University of Melbourne:
http://www.psychiatry.unimelb.edu.au/centres-units/mnc/
Neuroimaging in Motor Neuron Disorders and Frontotemporal Dementia
We are seeking a highly motivated imaging scientist to fill a postdoctoral position in the intramural program of the National Institute of Neurological Disorders and Stroke (NINDS) at the National Institutes of Health (NIH) in Bethesda Maryland USA. Our studies focus on identifying MRI imaging markers of progression or prognosis in patients with C9ORF72-related familial ALS-FTD and other motor neuron disorders. All scanning is carried out in a dedicated MRI research facility at NIH, with a multidisciplinary team of clinicians, students, engineer, and technologists. Modalities include diffusion tensor imaging, resting state fMRI, and pre- and post-mortem anatomical imaging. An interest in longitudinal methods and structural-functional connectivity is highly desirable. Experience in quantitative magnetic resonance imaging analysis methods is required.
To be eligible for this position, you must have received your doctoral degree (MD or PhD) less than 5 years ago. Applicants must have excellent communication skills, and an ability to work in a team as well as independently. The initial appointment is for 2 years, with the possibility of extension. Salary is based on experience and will follow the NIH guidelines for intramural research training awards (www.training.nih.gov). The position is available as of January 2015.
To apply, please send a letter describing your interest and long-term goals, together with CV and names/contact information of 3 references to: Dr. Mary Kay Floeter, floeterm(a)ninds.nih.gov.
The NIH is dedicated to building a diverse community in its training and employment programs. NIH is an agency of the US. Department of Health and Human Services. All positions are subject to a background check.
DHHS and NIH are Equal Opportunity Employers.
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
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 2015 is January 1, 2015.
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 FSL 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
Postdoctoral Fellow in Neuroscience/Psychology
The Cognitive Engineering Lab of Singapore Institute for NeurotechnologyÂ
(SINAPSE) is seeking to appoint a Research Fellow/Scientist for a period
2 years;Â
position to be filled as of March 1, 2015 or sooner if it is filled).Â
Contact person
Prof. Anastasios (Tassos) Bezerianos, Cognitive Engineerng Lab, SINAPSE,
NationalÂ
University of Singapore (NUS), Email: lsiba(a)nus.edu.sg
<mailto:lsiba@nus.edu.sg>, phone: +65-66013054 <tel:%2B65-66013054>,Â
http://www.sinapseinstitute.org/projects/cognitiveengr/Â
Research Topic
The project examines the feasibility of cognitive training in augmenting
brainÂ
performance. We are looking for a research fellow who is interested in
developingÂ
and (or) employing neuroscience/psychology training protocols and advancedÂ
multimodal neuroimaging techniques to understand the training and transferÂ
effect on the brain plasticity. Â
Scientific profileÂ
ï?· Recent  Ph.D. degree in neuroscience/psychology related projectÂ
(preferably in cognitive training);Â
ï?· Solid programming skills; the project involves programming in Matlab
andÂ
other programming tools (E-prime);
ï?· Knowledge in multivariate statistical analysis is necessary.
ï?· Multimodal neuroimaging  (fMRI/ EEG)  background is preferable.Â
Personal profile
ï?· Good communication and English writing skills is essential;
ï?· Interdisciplinary communication and team competence;
ï?· Creative and highly self-motivated. Â
If you are interested in the job, please send applications via email to
Prof. TassosÂ
Bezerianos (lsiba(a)nus.edu.sg <mailto:lsiba@nus.edu.sg>), including:
ï?· Cover letter (with research interests)
ï?· Complete CV including full education (preferably list the thesesâ??
titles andÂ
abstracts), lists of papers, projects;
ï?· Names and email address of at least two referees;
*Postdoctoral Position in *
*Neuromuscular Rehabilitation and Neuroimaging*
*Reference: HPEL01-FSL*
Applications are now being accepted for a Postdoctoral Fellowship
position at the Human Performance and Engineering Lab at Kessler
Foundation in collaboration with New Jersey Medical School of Rutgers
University. The 2-3 year program prepares biomedical scientists,
including engineers (e.g. biomedical, electrical, rehabilitation),
neuroscientists, kinesiologists, and those in related fields, for a
career in rehabilitation research within the specialty area of
neuromuscular rehabilitation. The successful candidate will work
principally on a 5 year NIH funded research study aimed at investigating
the neurophysiological effect of mental and physical training on
mitigating cancer- and/or cancer treatment-related weakness. The
successful applicant will also be expected to develop his/her own
mentored research project as well as have the opportunity to work on
other projects in neuromuscular rehabilitation in diverse patient
populations including traumatic brain injury, multiple sclerosis, spinal
cord injury and stroke. He/she will work on various aspects of research
projects from inception (e.g., study formulation, grant-writing, etc.),
through dissemination (conference presentation and manuscript
publication). Opportunities of collaborating with clinicians on existing
or future clinical research are also available. All fellows participate
in an extensive training curriculum and didactic offerings.
Multidisciplinary mentored training opportunities are individually
tailored to achieve specific goals considering each fellow’s prior
background and interests.
Applicants with specific interests and/or experience in the following
areas are highly encouraged to apply: Neuromuscular rehabilitation;
biomedical signal processing (e.g., EEG, TMS and EMG); brain and muscle
electrophysiology; functional and structural MRI.
Qualified candidates must have an earned doctorate in biomedical
engineering, neuroscience, kinesiology or a related field with a
background in signal processing or/and image processing (EEG, MRI,
fMRI). Working knowledge of at least one programming language is
mandatory. Preferences will be given to candidates with expertise in
Matlab programming as well as image processing software such as EEGLAB,
FSL, AFNI. Strong candidates will have prior experience in performing
research studies in human subjects, as well as some history of
publication and presentation of original research. Additional desirable
skills and experience include: experience with EEG/EMG data collection
and analysis, biomedical instrumentation, ability to independently
develop data processing/analysis methods, knowledge of statistical data
analysis, and excellent written communication skills.
The Kessler Foundation Research Center is a division of Kessler
Foundation, a public charity that advances its mission of improving the
lives of people with disabilities through research and grant-making
programs. The Kessler Foundation Research Center is affiliated with the
renowned Kessler Institute for Rehabilitation in West Orange, New Jersey
and enjoys close collaborations with partners at the New Jersey
Institute of Technology, Rutgers University, Seton Hall University, New
York University, and the University of Delaware. Kessler Foundation is
one of the few rehabilitation institutions in the United States who has
a research dedicated state-of-the-art 3T Siemens MRI system at the Rocco
Ortenzio Neuroimaging Center. This offers unique research opportunities
and training in neuroimaging. Applicants are encouraged to visit the
Foundation website (http://www.kesslerfoundation.org/research/) to learn
about the missions, activities, and resources and its laboratories, in
particular the Human Performance and Engineering Lab.
Administration of the ARRT fellowships occurs under the Department of
Physical Medicine and Rehabilitation at the New Jersey Medical School of
Rutgers University in Newark. As such, fellows enjoy the benefits and
academic resources available to all post-doctoral fellows at the Medical
School. Fellows may also be recommended for an academic appointment at
the rank of Instructor.
Principal Investigator: Dr. Guang Yue, Ph.D.
To apply, please send your CV, a letter of interest to Dr. Jiang at
tjiang(a)kesslerfoundation.org
<mailto:tjiang@kesslerfoundation.org> Please include the reference
number of the position in your application.
APPLICATION DEADLINE: 2/15/2015
We are equal opportunity employers.
We are seeking an enthusiastic, intellectually able and motivated
candidate for a PhD project on the neural prediction of unhealthy eating
in real world contexts. Obesity is at unprecedented levels. Thus,
improved understanding of the neural determinants of eating behaviour is
a pressing need. The project, supervised by Prof. Andrew Lawrence, Dr
Nils Muhlert and Prof. Derek Jones, Cardiff University, UK, will combine
multi-modal functional and structural (white matter) imaging with novel
ecologically valid behavioural measures, to examine how inter-individual
variation in the function and structure of brain reward circuitry
predicts food cravings, patterns of unhealthy eating, and subsequent
weight change.
For related work from the lab see: Lawrence NS et al. Nucleus accumbens
response to food cues predicts subsequent snack consumption in women and
increased body mass index in those with reduced self-control. Neuroimage
2012; 63: 415-22.
Funding Notes:
Studentships will commence in October 2015 and will cover your tuition
fees as well as a maintenance grant (of £13,863 per annum). Additional
funding for research costs and academic conference travel is available.
The MRC Doctoral Training Partnership (DTP) are currently advertising 13
projects across different Schools, but only 4 studentships will be
funded across Cardiff University.
References:
Full awards (fees plus maintenance stipend) are open to UK Nationals,
and EU students who can satisfy UK residency requirements. To be
eligible for the full award, EU Nationals must have been in the UK for
at least 3 years prior to the start of the course for which they are
seeking funding, including for the purposes of full-time education.
As only one studentship is available and a very high standard of
applications is typically received, the successful applicant is likely
to have a very good first degree (a First or Upper Second class BSc
Honours or equivalent) and/or be distinguished by having relevant
research experience.
Application deadline:
30th January 2015 with interviews (either in person or by Skype)
being held on or around 9th February 2015 and decisions being made by
Friday 20th February 2015.
General Information:
The School of Psychology is one of the largest and most successful in the UK
(http://www.cf.ac.uk/psych/). The School’s excellent standard of
research and teaching has
been recognised in every Research Assessment Exercise. It has its own
brain-imaging centre
(http://www.cf.ac.uk/psych/cubric/), enhancing the international-leading
research in
cognitive and behavioural neuroscience, cognitive ergonomics, forensic,
social and
developmental psychology.
Further particulars, including application forms, can be found online at:
http://psych.cf.ac.uk/degreeprogrammes/postgraduate/research/specificprojec…
or here:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=59865
Andrew Lawrence
Professor Andrew Lawrence PhD
School of Psychology
Cardiff University
Tower Building, 70 Park Place
Cardiff CF10 3AT
Email: LawrenceAD(a)Cardiff.ac.uk
http://psych.cf.ac.uk/http://www.cardiff.ac.uk/research/neuroscience-mental-health
The new research group /Multimodal Imaging of Neuronal Networks/ at the
University of Cologne is inviting applications for the following
positions (starting 2015):
1 Post-doctoral Research Associate for 5 years (reference “5Post”)
1 Post-Doctoral Research Associate for 3 years (reference “3Post”)
1 PhD position for 3 years (reference “PhD”)
Our research group investigates in two main research topics:
A) Imaging Biomarkers of Neurodegeneration and Cognitive Ageing
B) Dopaminergic Functions and Decision Making
We are located at the Department of Nuclear Medicine of the University
Hospital Cologne and at the Jülich Research Centre. Thilo van Eimeren
(head of the group) is also senior physician at the Department of
Neurology of the University Hospital Cologne. We primarily use
functional and structural MRI, as well as ligand PET imaging and have
access to various state-of-the-art PET and MRI scanners, including high
field (3T) and ultra high field (9.4T) hybrid MR-PET. We are part of a
strong interdisciplinary and international neuroscience community with a
strong emphasis on the promotion of young scientists.
5Post job description:
You are applying for a long-term position within the group. You should
have a PhD in neuroscience, medicine, physics, computer science,
psychology or a related field. You should be knowledgeable in
programming (e.g. Matlab) and statistical data analysis, and have good
writing skills and proficiency in English. Experience in brain mapping
methods is a plus. You will be engaged in both main research topics,
with an emphasis on topic A. Importantly, you will supervise students
working in our lab.
3Post job description:
You are applying for a position dedicated to research topic B,
specifically to the research project “Neuronal basis of impaired
motivation and inhibition of actions in patients with Parkinson's
disease and behavioural addictions.”, which is funded by the German
Research Foundation (DFG) and encompasses pharmacologically modulated
fMRI to explore the role of dopamine in behavioural additions (e.g.,
pathological gambling, compulsive shopping, binge eating,
hypersexuality). You should have an MD or PhD in neuroscience, medicine,
physics, computer science, psychology or a related field. You should be
experienced with fMRI study designs and analytical methods, and have
good writing skills and proficiency in English. Proficiency in German
and experience with patient studies (particularly Parkinson's patients)
are a plus.
PhD job description:
You are applying for a PhD fellowship position focused on research theme
A. You should hold a Masters or Diploma in Cognitive Neuroscience,
Neurophysiology, Psychology, Computer Science, Physics, Statistics or a
related field. Mathematical and programming skills, experience in
experimental design, analysis of fMRI data, good writing skills and
proficiency in English are a plus.
Cologne is a vibrant city that celebrates diversity. It is best known
for its rich history (founded 2000 years ago), the famous Cologne
Cathedral and the Cologne Carnival.
Established in 1388, the University of Cologne is among the leading
universities in Germany and was awarded in the current governmental
German Universities Excellence Initiative for its overall concept.
If you are interested, please send an email to tvaneimeren(at)gmail.com
<http://gmail.com/>
The subject line should only contain the reference (“5Post”,”3Post”, or
“PhD”). Please attach a full current CV and a cover letter describing
your background, motivation and research interests.
Salary is according to the German TV-L (E13), all position are available
starting February 2015 and will be open until filled.
For informal enquiries about the positions please also contact
tvaneimeren(at)gmail.com <http://gmail.com/>
The Sir Peter Mansfield Magnetic Resonance Centre, University of
Nottingham is seeking to recruit two Research Associate/Fellows in the
field of magnetoencephalography (MEG). Successful candidates will work
on developing and applying novel ways to measure and understand the
intrinsic modes of functional coupling between functionally specific
brain regions. Specifically, areas of development will include: i) New
ways to model neural oscillations in local circuits; ii) Novel methods
to characterize long range linear and non-linear coupling and iii)
Measurement of dynamic changes in functional connectivity during basic
sensory and cognitive tasks. In addition, since electrophysiological
activity and connectivity is mediated by neurochemistry, successful
candidates will also be involved in performing parallel ultra-high field
(7T) magnetic resonance spectroscopy (^1 H and ^13 C) experiments in
order to relate the concentration of cortical neurotransmitters
(glutamate/GABA) to electrophysiological metrics in MEG. Finally these
metrics will be applied in schizophrenia in order to gain new insight
into how impaired network activity and connectivity underlies core symptoms.
The University of Nottingham has been at the forefront of imaging since
the introduction of MRI in the 1970’s. Indeed a rich history of novel
developments resulted in the award of a Nobel Prize to Sir Peter
Mansfield in 2003. The Sir Peter Mansfield Magnetic Resonance Centre
(SPMMRC), now headed by Prof. Peter Morris, remains at the forefront of
neuroimaging development with significant contributions in the fields of
MRI, MEG, multi-modal imaging, and simultaneous EEG/fMRI. The Centre is
equipped with a 275 channel MEG, 7T, 3T and 1.5T MR systems as well as
MR compatible 64 channel EEG. In addition, a £9m investment by the
Medical Research Council (announced in October 2014) will see upgrades
to 7T and MEG as well as the introduction of wide bore 3T and upright
MRI systems, to begin in 2015.
Candidates should have a PhD (or equivalent) or be nearing completion in
neuroimaging and strong interest/experience in developing methods plus
an undergraduate degree in Physics, Engineering, Mathematics or
appropriately related discipline.
There are two fixed term posts available, one for two years and one for
three years duration from 1 January 2015.
Applications can be made at:
http://jobs.nottingham.ac.uk/Vacancy.aspx?id=3148&forced=1
Closing Date: 10^th December 2014
Informal enquiries may be addressed to Dr Matt Brookes, tel: 0115
9515188 or email matthew.brookes(a)nottingham.ac.uk
<mailto:matthew.brookes@nottingham.ac.uk>.
Please note that applications sent directly to this email address will
not be accepted.
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The UCLA Department of Psychiatry and Biobehavioral Sciences is
recruiting for a Postdoctoral research position in Los Angeles, CA. The
candidate will participate in a neuroimaging study of the effects of
exercise and the effects on neural circuitry in Parkinson’s Disease.
Candiate
- Ph.D. degree in neuroscience, psychology, biomedical engineering or
related fields. Alternatively, we will consider M.D. candidates having
completed residency training in Neurology or Psychiatry or prior to
residency training, with a demonstrated interest and track record in
neuroimaging research.
- Research training in translational, clinical and/or neuroimaging
research in Parkinson’s Disease research. They should have an interest
in the basic mechanisms of disease pathogenesis and interventional studies.
Experience
- fMRI data collection and analysis is required
- solid background in the principles of MRI and fMRI and have had
experience in clinical and translation MRI research and development
- analytical skills in the programming language needed for fMRI task
design (i.e. Matlab, Presentation)
- experience with fMRI analyses software (i.e. FSL)
The Fellowship will be supervised by Dr. McEwen (UCLA) and Dr. Petzinger
(Department of Neurology, USC) and the candidate will be responsible for
MRI data acquisition, processing, analysis, and contribute to the
preparation of manuscripts.
This Fellowship offers an outstanding training environment, in which the
successful candidate will be contributing to ground-breaking
translational research in the field of Parkinson’s Disease and
neuroplasticity research. This position does not have patient care
responsibilities.
The position will begin January/February 2015 and we are looking for a 2
year commitment.
Interested applicants should send curriculum vitae, a statement of
research interests and three letters of recommendation to Dr. Sarah
McEwen (smcewen(a)mednet.ucla.edu).
Postdoctoral Position in Decision Neuroscience in Berlin
Applications are invited for a postdoctoral position in the Heekeren lab
at Freie Universität Berlin (http://fu-berlin.de/scan).
Projects in the lab examine mechanisms of perceptual, reward-based and
social decision making using neurocognitive
methods (fMRI, EEG, TMS) in combination with computational modeling.
Freie Universität Berlin provides full access to outstanding
infrastructure, including MRI, EEG, TMS, and eye-tracking.Duties and
Responsibilities: The
successful candidate will carry out research in the area of decision
neuroscience using a model-based
cognitive neuroscience approach.
The successful candidate should have a reasonable subset of the following:
- a PhD in cognitive or Computational neuroscience, engineering,
psychology, experimental economics, or a related field.
- Knowledge of decision neuroscience, cognitive neuroscience,
computational neuroscience, or behavioural economics.
- Experience in statistics or machine learning.
- Experience in the analysis of behavioural and functional neuroimaging
data.
- Programming skills in MATLAB or similar languages.
- Effective written and verbal communication skills.
- Experience working in a research environment.
Consideration of applications will begin immediately and will end when
the positions are filled.
If interested, send a CV and a brief cover letter to Hauke Heekeren
hauke.heekeren(a)fu-berlin.de