Postdoctoral Fellow in computational neuroimaging

Location: University of Pennsylvania - Perelman School of Medicine; Open Date: Mar 06, 2026; Funding Source: NIH; Number of positions: 2.

About the role

Two postdoctoral positions in computational neuroimaging and machine learning are available at the Center for Biomedical Image Computing and Analytics (CBICA), Radiology, University of Pennsylvania. The successful candidate will join a highly collaborative research environment focused on developing computational methods for analyzing large-scale neuroimaging and clinical datasets to better understand brain health and disease. NIH grant funded. Applicants requiring visa sponsorship are welcome to apply.

Responsibilities

• Development of advanced image analysis tools for MRI and PET data to study brain aging and neurodegenerative diseases, including Alzheimer’s disease, using large multi‑cohort datasets to extract biologically meaningful imaging biomarkers.
• Application of machine learning methods to imaging and clinical data from patients with neurocognitive disorders to improve disease characterization, prediction of clinical outcomes, and personalized diagnostics.

Qualifications

• PhD in computer science, biomedical engineering, electrical engineering, applied mathematics, neuroscience, or a related quantitative field.
• Strong background in image processing, statistical analysis, machine learning, or pattern recognition.

Skills

• Experience with deep learning and neuroimaging data (e.g., MRI or PET) is highly desirable.