Seeking postdoctoral fellow or assistant professor to play lead role in
funded high-impact study to identify the neuro-circuitry underlying
differential abilities in pattern-recognition in humans. This study
investigates why some people are optimal pattern detectors (good at
detecting signal within chaotic environments), while others are
suboptimal, either because they don't see patterns that do exist, or
because they do see patterns that don't exist. This work has widespread
applications, from understanding what makes for a good intelligence
officer or emergency room physician, to gaining insight into the process
by which individuals become susceptible to delusions or conspiracy
theories.
The study will move beyond conventional statistical (GLM) methods,
toward control systems engineering models that combine clinical (human)
neuroimaging (fMRI, MEG, EEG, NIRS) and computational modeling.
Therefore, candidates should have strong quantitative skills.
Study will be conducted at Stony Brook University Department of
Biomedical Engineering (Stony Brook NY) and/or the Harvard University
Martinos Center for Biomedical Imaging (Charlestown, MA). Hire at either
the Postdoctoral, Senior Postdoctoral, or Assistant Professor level;
title and salary commensurate with experience. Minimum two-year
contract, with start date July 1, 2013.
Candidates should have a strong background in fMRI, cognitive
neuroscience, control systems, and programming (MatLab or python).
In order to be considered, candidates should have a doctorate and a
demonstrated record of productivity, the latter of which includes
high-quality first-author neuroimaging publications in peer-reviewed
journals.
Please send letter explaining why you are interested in the position, cv
and contact information for three references, to: Dr. LR Mujica-Parodi
(lilianne.strey(a)stonybrook.edu <mailto:lilianne.strey@stonybrook.edu>)
Information about the laboratory can be obtained from our website:
www.lcneuro.org <http://www.lcneuro.org/>
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