Postdoctoral UCSF– Resting-State fMRI & Neuromodulation in Primary Progressive Aphasia

Neurostars; San Francisco (CA); On-site; USD 55,000 - 75,000; Full time

Job summary

A leading biomedical research institution in San Francisco seeks a postdoctoral fellow for an NIH-funded project in neurobiology. Candidates should have a PhD, strong skills in resting-state fMRI analysis and programming, and experience with high-performance computing. Collaboration with a multidisciplinary team and opportunities for publication are included. Interested applicants should apply via email with relevant documents.

Qualifications

• PhD in a relevant field required.
• Strong background in fMRI analysis needed.
• Proficiency in programming languages essential.
• Experience with structural MRI analysis is a plus.
• Familiarity with Docker workflows preferred.

Responsibilities

• Analyze structural and functional MRI data.
• Integrate data with electrical field modeling.
• Contribute to research informing precision therapies.
• Collaborate with a multidisciplinary team.
• Participate in publications and grant writing.

Skills

Resting-state fMRI analysis

Connectivity methods (SPM, FSL, AFNI)

Programming/scripting (Python, Matlab, R)

Structural MRI analysis

Experience with Singularity/Docker workflows

Education

PhD in Neuroscience, Biomedical Engineering, Cognitive Science, Neurology, or related field

Tools

Singularity

Docker

SPM

FSL

AFNI

Job description

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

How to Apply

To apply, please send a cover letter describing interests and relevant prior experience, a CV, and contact information for 3 referees to: [e-mail] and [e-mail]