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@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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