Postdoctoral position in decision making and learning in combinatorial games, New York NY (U.S.A.)

Applications are invited for a postdoctoral position in Wei Ji Ma's laboratory in the Center for Neural Science and Department of Psychology at New York University. The position is for two years, with the possibility of extension. Salary will be competitive and commensurate with experience and qualifications.

The long-range goal of the lab is to understand decision-making under uncertainty. The specific project is an NSF-funded one on how humans think ahead, decide, and learn in two-player, full-information games (such as chess, go, or tic-tac-toe). We will use human behavioral experiments, machine learning, eye tracking, and potentially fMRI to dissect the roles of heuristics, pruning strategy, and cognitive constraints in human play in a simplified, tractable game environment.

Applicants should have a Ph.D. in machine learning, artificial intelligence, game theory, computational neuroscience, or mathematical, perceptual, or cognitive psychology, and be familiar with at least one other of these fields. Experience with probabilistic models is required.

To apply, please send your CV, a description of why you are interested, and the contact information of two references to Wei Ji Ma. Consideration of applications will begin immediately and will end when the position is filled.