VA MIRECC Postdoctoral Fellowship in Data Science Applications to Cognitive Aging and Brain Health
Forecasted
A two-year UCSF postdoctoral fellowship for data scientists to study cognitive aging and Alzheimer's using large-scale data and multidisciplinary research approaches.
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Funder: Department of Psychiatry and Behavioral Sciences
Due Dates (Anticipated): November 2026 (application deadline, projected)
Funding Amounts: Two-year postdoctoral fellowship; stipend typically $48,334–$56,519/year with possible increase in year two.
Summary: Advanced postdoctoral training for data scientists in cognitive aging, brain health, and Alzheimer's/dementia research using large-scale data.
Key Information: This is a forecasted opportunity; dates and details may shift—check program page for updates.
Description
This advanced two-year postdoctoral fellowship, led by Dr. Kristine Yaffe and the Center for Population Brain Health at UCSF, provides specialized training for researchers with doctoral degrees in quantitative fields such as epidemiology, biostatistics, bioinformatics, computer science, or data science. The program is designed to develop independent investigators focused on cognitive aging, brain health, and Alzheimer's disease and related dementias (AD/ADRD). Fellows will work with large-scale datasets, employing computational and statistical approaches to study risk and resilience factors, the exposome, and mechanistic pathways in AD/ADRD development. The fellowship emphasizes multidisciplinary collaboration across psychiatry, neurology, epidemiology, and computational health sciences, offering opportunities for both mentored research and career development.
