The Rationality Enhancement Lab at the MPI for Intelligent Systems in Tübingen is looking for a PhD student interested in developing program induction methods for discovering optimal decision strategies. Our mission is to reverse-engineer and enhance human intelligence. You will be part of a larger project whose goals are to a) reverse-engineer the computational mechanisms enabling people to discover and continuously refine their highly efficient algorithms for planning, reasoning, and decision-making, b) develop automatic methods for discovering optimal heuristics and general principles of good decision-making, and to c) develop cognitive tutors that teach people optimal cognitive strategies. Your primary focus will be to develop and evaluate cognitively-inspired learning algorithms for discovering effective decision strategies. The goal is to develop robust program induction methods that can automatically discover interpretable decision strategies that people can use to make better choices. You will evaluate your methods by the performance and computational efficiency of the discovered algorithms, its robustness to misspecification. Finally, we will conduct training experiments to evaluate if teaching people the discovered strategies enables them to make better decisions. For more information, please see the attached job ad. If you are interested in this position, please contact Dr. Falk Lieder (falk.lie...@tuebingen.mpg.de).
— Falk Lieder, Ph.D. Max Planck Research Group Leader for Rationality Enhancement MPI for Intelligent Systems, Tübingen, Germany
PhD Robust Strategy Discovery_IMPRS.pdf
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