Position Summary: A funded postdoctoral position is available at the lab of Dr. Yael Niv in the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (http://www.princeton.edu/~nivlab). Research in the lab focuses on computational modeling of learning and decision making at the systems level (reinforcement learning, Bayesian inference), and model-driven functional imaging experiments of human decision making. The collaborative HFSP-funded project investigates the role of striatal acetyl choline from a theoretical and empirical perspective. We seek exceptionally talented candidates with a strong computational background, and a keen interest in reinforcement learning and normative models of behavior. Anticipated start date is January 2013 or later. This is a one-year position with the possibility of renewal, pending satisfactory performance and funding.
Applicants must apply online and submit a cover letter stating background and research interests and citations of two representative publications, a CV, and contact information of at least two references.
Essential Qualifications: PhD in psychology, neuroscience or equivalent.
Proven experience with computer programming.
Preferred Qualifications: The ideal candidate will have robust experience with computational modeling at the systems level (machine learning, reinforcement learning, Bayesian models). Additional desirable qualifications are experience with behavioral experiments (decision making/psychophysics) and model-based data analysis and/or experience with fMRI (event related designs and model-based analysis techniques).
Education Required: Doctorate Degree
Application Deadline: Open Until Filled or See Position Summary.