The Kayser Lab at UCSF is searching for a candidate interested in understanding the cognitive, computational, and neural mechanisms underlying value-based decision making using a neuroeconomic framework. This project, in conjunction with Prof. Ming Hsu at UC Berkeley, will combine and extend behavioral, computational, and functional MRI approaches in order to develop a quantitative neural understanding of economic exchanges.
Both control and patient populations will be evaluated. The initial appointment will be for two years, during which time the successful candidate will have access to a friendly and collaborative environment as well as to extensive facilities at U.C. San Francisco and U.C. Berkeley. The starting date is fall 2019, but potentially flexible for the right candidate. Responsibilities will primarily involve designing, conducting and analyzing behavioral and neuroimaging studies.
Please send applications (a CV, short statement of research experience and interests, and the names of 3 references) by email to Andrew.Kayser (at) ucsf.edu . Informal inquiries are also welcome. Applications considered as received.
The ideal candidate will have a Ph.D. degree in psychology, neuroscience, bioengineering, or a related field, or an M.D. degree with appropriate training. Established analytical skills and a record of previous research are strongly preferred, and previous experience with fMRI is welcomed. Facility with Matlab, Python, or another programming language is required.
Additional Salary Information: Includes location adjustment
Internal Number: 2019
The Kayser laboratory is located at the University of California at San Francisco. This position includes a collaboration with researchers at the University of California at Berkeley.