Company Description
UC San Francisco is a world leader in biomedical research, education, and clinical care. The UCSF Memory and Aging Center and the ALBA Language Neurobiology Lab are internationally recognized for advancing the understanding of neurodegenerative disorders. We foster a diverse, collaborative, and innovative environment to improve brain health across the lifespan.
Role Description
This is a full-time postdoctoral fellowship based at UCSF in San Francisco, CA. The fellow will join the ALBA Language Neurobiology Lab to work on an NIH-funded project combining resting-state fMRI, advanced network analysis, and neuromodulation (RS-tDCS) in Primary Progressive Aphasia. Responsibilities include advanced analysis of structural and functional MRI data, integration with electrical field modeling, and contributing to translational research that directly informs precision neuromodulation therapies. The fellow will collaborate with a multidisciplinary team of neurologists, neuroscientists, and engineers, with opportunities to contribute to publications, grant writing, and mentorship.
Qualifications
• PhD in Neuroscience, Biomedical Engineering, Cognitive Science, Neurology, or a related field
• Strong background in resting-state fMRI analysis and connectivity methods (SPM, FSL, AFNI, etc.)
• Proficiency in programming/scripting (Python, Matlab, R)
• Experience with structural MRI analysis (cortical thickness, volumetrics)
• Experience with Singularity/Docker workflows and high-performance/cluster computing
Preferred Qualifications
• Familiarity with large-scale open datasets (e.g., Human Connectome Project, UK Biobank)
• Knowledge of connectomics, graph theory, or neuromodulation methods
• Experience with multi-site MRI harmonization
• Strong publication record and collaborative skills
To apply, please send a cover letter describing interests and relevant prior experience, a CV, and contact information for 3 referees to: MariaLuisa.Mandelli@ucsf.edu and Lucienne.Vintaer@ucsf.edu