[Comp-neuro] ML staff scientist position at NIMH/NIH

Ryan Philips ryan.philips at biotech.iitm.ac.in
Wed May 8 16:21:59 CEST 2019


The National Institute of Mental Health (NIMH), a major research component
of the National Institutes of Health (NIH), and the Department of Health
and Human Services (DHHS), is seeking exceptional candidates for a Staff
Scientist position in the Intramural Research Program (IRP), Section on
Neurobiology of Fear & Anxiety. This section examines neural systems models
of emotion/cognition interactions. This is done in two ways: one that
focuses on anxiety in health and disease, and the other that uses a
developmental perspective using large datasets. Four types of data are
exploited, clinical/behavioral assessment, psychophysiology, fMRI
(particularly 7T high-resolution scanner) and MEG.

The candidate must have a doctoral degree (PhD) in computational
neuroscience, or computer science/engineering and at least 5 years of
experience post Ph.D. analyzing large datasets, modeling complex neural
systems, using advanced machine learning algorithms. Experience with
technical computing in MATLAB, R, C++ and a strong mathematical skill set
is required. Knowledge of multi threaded and paralell computing
environments is desirable. An interest in neuroscience or prior experience
in neuroscience related fields is a plus. The staff scientist is expected
to be a key member of the Section on Neurobiology of Fear and Anxiety,
contributing to analytical methodology, design of new projects. Salary will
be commensurate with education and experience. Applicants should send
curriculum vitae and two letters of recommendation to Monique Ernst, MD,
PhD, 301-675-4525, ernstm at mail.nih.gov. Applications will be accepted
beginning April 1st. The position will be open until filled. HHS and NIH
are Equal Opportunity Employers. Applications from women, minorities and
persons with disabilities are strongly encouraged.
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