Two-year UCSF postdoctoral fellowship for computational neuroscientists to study neural mechanisms in psychiatric illness using big data, EEG, and fMRI.
Funder: USCF - Department of Psychiatry and Behavioral Sciences
Due Dates (Anticipated): January 2027 (Full application deadline, projected)
Funding Amounts: Two-year postdoctoral fellowship; typical VA postdoc stipends (approx. $60,000–$70,000/year) plus benefits
Summary: Two-year postdoctoral fellowship at UCSF focused on big data, EEG, and fMRI to study neural mechanisms in psychiatric illnesses.
Key Information: U.S. citizenship required for stipend eligibility; non-citizens may apply but are not stipend-eligible.
This two-year postdoctoral fellowship, funded by the Veterans Health Administration and based at UCSF's Brain Imaging and EEG Lab (BIEEGL), is designed for computational neuroscientists interested in leveraging big data, electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms underlying psychiatric illnesses. Fellows will work closely with an interdisciplinary team of neuroscientists, psychologists, and psychiatrists, contributing to innovative clinical neuroscience research and the advancement of patient care in neuropsychiatry. The program emphasizes advanced computational and quantitative methods, high-quality data analysis, and collaborative problem-solving to address critical questions in brain science.