[Eeglablist] RESEARCH ASSISTANT / DATA ANALYST Position available at the Martinos Center for Biomedical Imaging/ Harvard Medical School
sheraz.khan at polytechnique.edu
Fri Jul 30 10:21:04 PDT 2010
RESEARCH ASSISTANT / DATA ANALYST Position available at the
Martinos Center for Biomedical Imaging/ Harvard Medical School.
Research assistant / data analyst Position available at the
Martinos Center for Biomedical Imaging, Massachusetts General Hospital,
Charlestown, MA. This is an ideal position for someone with excellent
programming / signal processing / analytical skills, who is interested
in neuroscience in general and or in neurodevelopmental disorders in
particular, and would like exposure to the field before deciding on how
to proceed in their career.
PRINCIPAL DUTIES AND RESPONSIBILITIES
* Primary responsibilities will include:
-Collection of MEG/MRI data from healthy children and children with
neurodevelopmental disorders such as autism (i.e.
working directly with subjects, mostly children, but also adults).
-Analysis of MEG data with opportunities also for MRI data analysis
-Programming stimuli for experiments
-working with a team to improve data analysis approaches and developing
new analysis techniques
-Opportunities will be given to take an active part in influencing the
directions of the research to those thinking about
graduate school in neuroscience.
* Secondary responsibilities will include:
-Keeping up with relevant literature in the field and occasionally lead
the weekly journal club
-Contributions to grant and paper writing.
-Some contributions to general lab operations such as IRB and database
A B.Sc. is required, M.Sc./M.Eng. is preferred. Relevant signal
processing experience in an academic setting (e.g. thesis work) or
non-academic job is a must. A two-year time commitment is preferred. The
applicant must be facile with computers and programming. Experience with
Matlab is optimal, but an excellent background in programming in general
is sufficient. The applicant should be familiar with linux/unix
operating systems, and a quick learner of complex software packages and
new concepts. Ideally, the applicant would highly skilled in signal
processing, be it from engineering, computer science, MEG/EEG, single
unit work, or other backgrounds.
For more information or to apply, please email CV and cover letter to
Tal Kenet, at tal at nmr.mgh.harvard.edu
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