The Laboratory of Amit Etkin, MD PhD at Stanford University is currently
accepting applications for a postdoctoral research fellowship focused on
understanding and modulating the neural systems underlying cognitive and
emotional control in both healthy individuals and patients with a range
of psychiatric conditions. Special emphasis is put on use of causal
circuit manipulation tools (eg TMS and concurrent TMS and fMRI) as well
as a range of cognitive neuroscience paradigms at the behavioral,
physiological and neural levels.
The successful applicant will have a PhD in Cognitive Neuroscience,
Neurophysiology, Psychology, Computer Science, Statistics or related
fields. Experience with analysis of fMRI data and/or TMS is required.
Additional experience with psychophysiology or programming is a plus. A
US Citizenship is also required. Duties will also include manuscript
preparation, presentation of findings at conferences, management of
research assistants and contribution to the preparation of grants.
Laboratory and Stanford resources include research-dedicated 3T and 7T
MRI scanners, concurrent TMS/fMRI setups and concurrent TMS/EEG setups.
Salary commensurate with experience. More information about our ongoing
studies can be found at: http://etkinlab.stanford.edu.
To apply, please send a curriculum vitae, a statement describing
research interests and relevant background and three letters of
recommendations, as well as relevant reprints/preprints of research
articles to:
Amit Etkin, MD, PhD
Department of Psychiatry and Behavioral Sciences
Stanford University
amitetkin(a)stanford.edu
Postdoctoral Research Fellow
The Model-based Cognitive Neuroscience Laboratory at The Ohio State
University seeks a postdoctoral researcher in cognitive modeling and
experimental neuroscience.
Responsibilities
The major duty is assisting Dr. Brandon M. Turner (Ohio State
University; http://faculty.psy.ohio-state.edu/turner/lab/) in fulfilling
research objectives such as development of cognitive-neural models of
decision making, examining the neural and behavioral basis of confidence
in perceptual decision making, development and implementation of
algorithms for performing calibration of deep brain stimulation devices,
and/or adaptive design optimization of fMRI scan protocols. Duties also
include overseeing graduate students, undergraduate RAs, and technical
assistants; planning and carrying out experiments; data analysis; model
testing; and preparing manuscripts for publication.
Summary of Qualifications
Experience analyzing fMRI data, EEG data, cognitive modeling, Bayesian
statistics, and computer programming.
Summary of Duties
This position performs basic research related to dynamic decision making
by analyzing behavioral data, fMRI data, and EEG data; designs
experiments; programs stimuli/experiments; collects and analyzes data;
prepares manuscripts documenting results for publications in book
chapters and peer-reviewed journals; prepares conference submissions for
dissemination of research results; assists in preparation and submission
of grant applications; mentors and assists graduate students in the lab.
Other Information
The start date of the position is negotiable, but would ideally begin
June 1, 2015. This is a one-year appointment, but renewal for a second
year is contingent on satisfactory performance, acceptable progress in
carrying out the assigned duties, and mutual agreement. This is a 100%
appointment. Salary ranges from $40,000 - $42,000 per year, depending on
qualifications.
To Apply
Please submit your application through the online portal here:
https://www.jobsatosu.com/postings/60087. The link will ask for a
variety of information including two references, a resume, and a cover
letter. The deadline for applications in January 20th, but will remain
open until the position is filled.
The Ohio State University is an equal opportunity employer. All
qualified applicants will receive consideration for employment without
regard to race, color, religion, sex, sexual orientation, gender
identity, national origin, disability status, or protected veteran status.
Post-doctoral Fellow Position
A post-doctoral fellowship is available in the laboratory of Dorina Papageorgiou, Ph.D., MHSc at Baylor College of Medicine 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.
We have relied heavily on highly quantitative methods, such as population receptive field, fMRI multivariate and univariate analyses, and have utilized a variety of innovative approaches to address our questions, including support vector machine analyses. Additionally, we have gained insights from highly individualized cortical and subcortical neuro-rehabilitative approaches.
The work promises to be challenging, but also presents an exciting opportunity to gain an understanding of the neurofeedback methods involved in various patient populations depending on the domain of brain function lesioned, such as in visual, speech, attention, and pain-associated networks. Trainees will benefit from the Center for Advanced MR Imaging at Baylor College of Medicine, which includes a state-of-the art imaging facility with four research-dedicated 3 Tesla MR scanners. (1 Siemens Allegra (head-only) and 3 Siemens Trio), a high speed private network, a database with web-based access, independent computing facilities, real-time fMRI capabilities.
Minimum Job Experience:
PhDs with a background in any of the following disciplines: Neuroscience, Biomedical Engineering, Engineering, Bioinformatics, Computer Science, or (Bio-)Physics with expertise in scientific programming: C/C++, Matlab/Python programming and Unix environment. The applicant should be highly motivated with a flexible work schedule.
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.
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