Connectionists: Postdoctoral position in model-based fMRI at Princeton University

[Yael Niv]

Postdoctoral Research Associate

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 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 
. 
-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20081111/a776c9cd/attachment-0001.html