[Comp-neuro] Postdoctoral position in fMRI of reinforcement learning at Princeton University

[Yael Niv]

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.


Essential Qualifications
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.



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), 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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