How to Apply
In order to be considered for this position, please submit one document with your CV, statement of research interests, and the names of three references.
Two postdoctoral positions in computational cognitive science in the Department of Psychology are available beginning as early as July 2017. These highly collaborative positions involve research related to computationally rational decision making, language processing, and language emergence. Both postdoctoral positions will benefit from interaction with world-class faculty in the cognitive sciences at the University of Michigan, including faculty in the Departments of Psychology, Electrical Engineering and Computer Science, Linguistics, and Philosophy, as well as the newly established Weinberg Institute for Cognitive Science.
The first position involves a theoretical modeling and empirical project on computationally rational decision making. This project has two main objectives. First, it will rigorously evaluate a set of theoretically motivated hypotheses about training interventions designed to improve choice among options that impose difficult tradeoffs. This class of decisions is targeted because it is a large class with practical import, and systematically yields preference reversals, a phenomenon thought to violate axioms of rationality. The second aim is to advance the science of bounded rationality by testing a new model of choice that shows that preference reversals arise from rational processes that are adapted to cognitive bounds and serve to maximize utility. This position is funded for up to two years.
The second position involves one of three projects in computational cognitive science, depending on the interests of the successful applicant. One project concerns computationally rational decision making, including the aims described above, but more broadly defined to encompass, for example, moral decision making. A second project concerns computationally rational language processing---specifically, rational sentence processing in the face of noisy memory and perception. A third project concerns the computational derivation of properties of the human language capacity as a rational adaptation to constraints on memory, perception, and motor output. This position is funded for up to three years.
Candidates with a Ph.D. in cognitive science, cognitive psychology, computer science, machine learning, artificial intelligence, linguistics, or related fields are encouraged to apply.
Applications will be reviewed starting June 12, 2017 and will be accepted until the position is filled.
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