We want YOU

Post-doctoral Applicants

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Initial appointment is one-two years, with flexible start date and opportunity for renewal.

The project involves developing a decision-theoretical framework for the inter-related problems of perceptual decision-making, active sensing, active learning, interactions between affective and cognitive processing, and social cognition. Candidates must have a strong mathematical and modeling background in Bayesian statistics, Markov decision process, and general machine learning methods. 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. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable.

Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups 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 (ajyu@ucsd.edu). Two or more letters of references should be sent directly to the same address.


PhD Applicants

Due to the very high volume of emails, Dr. Yu may not be able to personally reply to every enquiry on the PhD application process.

Interested PhD applicants should apply through the 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 in probability and statistics, Bayesian statistical modeling, machine learning, reinforcement learning/dynamic programming, calculus, linear algebra, differential equations, and real analysis/measure theory. Additional experience with measure-theoretic probability theory, stochastic processes (Markov process, Poisson process, Gaussian process, etc.), stochastic control theory (stopping problems, bandit problems, sequential decision problems, etc.), information theory, and/or dynamical systems analysis is a bonus.

Applicants should also have fluency in Matlab programming (or equivalent), and have done coursework in psychology, cognitive science, and neuroscience. Research experience in behavioral experiments or 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 research laboratories.

Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute.



Last modified: Thu Jun 2 16:27:54 CEST 2016