Join a growing research group led by Dr. Yael Niv in the new Princeton Neuroscience
Institute and the Department of Psychology at Princeton University. Research in the lab
focuses on computational modeling of animal and human learning and behavior, and
model-driven functional imaging experiments of decision making. Possible projects
investigate the interaction between cortical representation learning and reinforcement
learning in the basal ganglia. We seek exceptionally talented candidates with a strong
background in computational modeling and/or functional imaging, and a keen interest in
normative models of behavior. This is a one-year position with the possibility of renewal.
Essential Qualifications:
PhD in neuroscience, psychology, computer science, engineering, neurobiology, physics or
related field. All applications should include a cover letter stating background and
research interests, a CV, one or two representative publications, and contact information
of at least two references.
Preferred Qualifications:
The ideal candidate will have a solid computational background (machine learning,
reinforcement learning, Bayesian models), will be proficient in programming (Matlab or
equivalent) and will have robust experience with fMRI (event related designs and model-
based analysis techniques).
To apply: Contact [log in to unmask] or apply online to Requisition Number: 0800698 at
http://jobs.princeton.edu. Princeton University is an equal opportunity employer and
complies with applicable EEO and affirmative action regulations. For general application
information and how to self-identify, see
http://www.princeton.edu/dof/ApplicantsInfo.htm.
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