Currently we are not recruiting. Please check back for future postings.
RECENTLY CONDUCTED SEARCHES
June 2021: The Kayser Lab at UCSF and the D'Esposito Lab at UC Berkeley are searching for a post-doctoral candidate interested in understanding the computational and neural mechanisms underlying cognitive recovery after stroke. This project combines and extends multimodal, multivariate functional imaging approaches to develop a quantitative neural understanding of stroke recovery. The ideal candidate will have a Ph.D. degree in bioengineering, statistics, neuroscience, or a related field. Established analytical skills relevant to computational approaches such as graph theory and a record of previous MRI research are strongly preferred. Facility with Matlab, Python, or another programming language is required.
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. Berkeley and U.C. San Francisco. The starting date is Spring 2022, but potentially flexible for the right candidate. Responsibilities will primarily involve designing, acquiring, and analyzing multimodal neuroimaging studies, including resting state, perfusion, and DTI data. Please send applications (a CV, short statement of research experience and interests, and the names of 3 references) by email to [email protected] . Informal inquiries are also welcome. Applications considered as received.
Andrew Kayser's lab: https://kayserlab.ucsf.edu/
Mark D'Esposito's lab: https://despolab.berkeley.edu/
June 2020: We’re searching for a research associate interested in understanding the cognitive, computational, and neural mechanisms underlying social valuation and decision making in control and clinical populations. Directed by Andrew Kayser M.D. Ph.D. in conjunction with Jennifer Mitchell Ph.D., and Ming Hsu Ph.D., this project will combine and extend behavioral, computational, and functional imaging approaches in order to develop a framework for analyzing social function in both control subjects and subjects with alcohol use disorders. The ideal candidate will have a bachelor's degree in a field relevant to neuroscience or psychology. Strong analytical skills and a record of previous research are welcomed. Facility with a programming language is very helpful but not required. 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. Responsibilities will primarily involve assisting in the design, conduct, and analysis of behavioral and neuroimaging studies. See also Dr. Hsu's webpage at neuroecon.berkeley.edu
Please send inquiries by email to Andrew.Kayser (at) ucsf.edu . Informal inquiries are welcome.
