[Comp-neuro] Postdoctoral position in model-based fMRI at Princeton University

Yael Niv yael at Princeton.EDU
Wed Nov 12 05:47:34 CET 2008

Postdoctoral Research Associate
Join a growing research group led by Dr. Yael Niv in the new Princeton  
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 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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