[Comp-neuro] Postdoctoral position in fMRI of reinforcement
learning at Princeton University
yael at Princeton.EDU
Sun Feb 15 04:45:57 CET 2009
Postdoctoral Research Associate
The research group of Dr. Yael Niv at the Department of Psychology and
Princeton Neuroscience Institute is seeking a postdoctoral research
associate in the field of reinforcement learning, decision making and
fMRI. 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.
PhD in neuroscience, psychology, computer science 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.
The ideal candidate will have a solid computational background
(machine learning, reinforcement learning, Bayesian models), will be
proficient in programming (Matlab or equivalent), will be well-read in
experimental psychology literature and will have robust experience
with fMRI (event related designs and model-based analysis techniques).
To apply contact yael at princeton.edu 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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