Applications are invited for a postdoctoral position in the Computational Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Initial appointment is for one year, with flexible start date and possibility of renewal.
The project is to develop a decision-theoretical framework for the inter-related problems of perceptual decision-making, active sensing, active learning, and social decision-making. Candidates must have a strong mathematical and modeling background in Bayesian statistics, reinforcement learning, machine learning, and control theory. Experience with measure-theoretic probability theory, stochastic processes, stochastic control theory (stopping problems, bandit problems, sequential decision problems), and/or dynamical systems analysis is also desirable.
Applicants should be committed to applying rigorous mathematical tools to modeling cognitive and neural processes, as well as carrying out human behavioral experiments and collaborating with other human/animal neuroscience laboratories. Research experience with behavioral experiments and fMRI neuroimaging, and/or data analysis for search experiments, is a bonus.
Dr. Yu's lab is situated within the Natural Computation Lab in the Cognitive Science department of UCSD. It is affiliated with the Computer Science Department, the Temporal Dynamics of Learning Center, the UCSD Neurosciences Graduate Program, and the Institute of Neural Computation. It provides ample opportunities for collaboration with related labs across the UCSD main campus, the medical school, and the Salk Institute.
Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (firstname.lastname@example.org). Two or more letters of references should be sent directly to the same address.
Interested PhD applicants should apply through the UCSD Department of Cognitive Science PhD Program. Dr. Yu may also advise PhD students from the Neurosciences Graduate Program, Department of Computer Science and Engineering, and the Department of Electrical and Computer Engineering.
PhD applicants should have strong mathematical and computational training, fluency in Matlab programming (or equivalent), as well as coureswork in psychology, cognitive science, and/or neuroscience. Research experience in behavioral experiments or fMRI brain imaging would be a bonus. Applicants should be committed to applying rigorous, quantitative tools to modeling cognitive and neural processes, as well as carrying out human behavioral experiments and/or collaborating with other human or animal resesarch laboratories.