Connectionists: Postdoctoral position available in the Niv Lab at Princeton

[Yael Niv]

A postdoctoral position is available in the lab of Dr. Yael Niv in the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (http://www.princeton.edu/~nivlab), for a collaborative project with the lab of Geoffrey Schoenbaum at NIDA. Research in the Niv lab focuses on computational modeling of learning and decision making at the systems level (reinforcement learning, Bayesian inference), and model-driven behavioral and functional imaging experiments of human learning and decision making. Research in the Schoenbaum lab utilizes rodent models to study learning and decision making, as well as addiction. We seek an exceptionally talented candidate who is intensely interested in understanding decision making and addiction, has proven experience in empirical investigations of learning and decision making (and corresponding task design), has expertise in computer programming and modeling, and has a keen interest in reinforcement learning and normative models of behavior. Background in studies of addiction, functional imaging and/or rodent work is an advantage. Anticipated start date is January 2015 though there is considerable flexibility. This is a one-year position with the possibility of renewal, pending satisfactory performance.
                                                                                                                                                          
Essential Qualifications: PhD in psychology, neuroscience or equivalent. Proven experience with computer programming.
 
Preferred Qualifications: The ideal candidate will have robust experience with fMRI (event related designs and model-based analysis techniques) or with studies of rodent decision making (Pavlovian and instrumental conditioning), will be proficient in programming (Matlab or equivalent), and will have experience with computational modeling (machine learning, reinforcement learning, Bayesian models).
 
To apply, please visit the website https://jobs.princeton.edu (requisition # 1400567) and create an online application. Applicants must submit a cover letter stating background and research interests and citations of at least two representative publications, a CV, and contact information for at least two references.
 
Princeton University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.