Princeton University

Postdoctoral Research Associate Position in Computational Cognitive Science The Department of Computer Science at Princeton University invites applications for a postdoctoral research position in Computational Cognitive Science, under the direction of Tom Griffiths. Ph.D. is required. Applicants should have a background in cognitive science or a related discipline such as computer science or psychology, with a research agenda focused on using mathematical, computational, and behavioral methods to understand the nature of human intelligence. Current research in the lab explores a wide range of topics including more realistic models of rational behavior (bounded optimality and rational metareasoning, with applications to decision-making and strategic behavior), novel methods for using behavioral data to answer questions about the mind (crowdsourcing, analysis of large online datasets, automated design and optimization of experiments), and the interface of human and machine learning (comparing deep learning to human behavior, Bayesian machine learning, metalearning, hierarchical reinforcement learning). Applications will be evaluated on the basis of the applicant's previous accomplishments and their fit with ongoing research projects in the lab. Applicants must apply online at: https://www.princeton.edu/acad-positions/position/5082 and submit a current curriculum vitae and a description of research interests and possible future directions in the lab (not to exceed one page). Contact information for three referees, who will be asked to comment specifically on your qualifications for the proposed research project. Referees will be contacted directly by email with instructions for uploading letters of reference. Letters of reference should be received by Dec 31, 2017. For full consideration, applicant materials should be submitted online by December 17, 2017. This is a one-year term appointment with possibility of renewal. Anticipated start date is September 1, 2018. This position is subject to the University's background check policy.

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