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University of Pennsylvania Perelman School of Medicine

Postdoctoral Fellowships in AI & Medical Imaging

Pay: Not specified

Posted: 2 weeks ago

Location: Meadville, PA (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 10/2/2026

Job Description

University of Pennsylvania:

Postdoctoral Positions:

Perelman School of Medicine Postdoctoral Location University of Pennsylvania – Perelman School of Medicine Open Date Mar 26, 2026

Description Faculty Mentor:

Yong Fan, PhD (Yong Fan, Ph.

D. - AIBIL

)

Department:

Radiology Funding Source:

NIH Number of positions: 3 We are recruiting three highly motivated Postdoctoral Fellows for NIH-funded positions to drive innovative research at the intersection of machine learning, medical imaging, and clinical data science. We offer a flexible, highly collaborative environment where fellows can dive deep into a specific domain or pioneer research across multiple fields. Key Research Areas (Candidates may focus on one or bridge multiple domains):

Neuroimaging & Predictive Modeling:

Develop advanced statistical and ML methods for large-scale neuroimaging to predict brain age, model disease trajectories, and discover neurological biomarkers.

Functional Network Modeling & Deep Learning:

Apply novel DL architectures and generative models to decode dynamic functional connectivity and brain network organization.

CT Analysis & Urological Applications:

Utilize computer vision and radiomics for automated segmentation, classification, treatment response prediction, and robust multi-site modeling in urological health.

Qualifications Education:

Ph.D. in Computer Science, Biomedical Engineering, Applied Mathematics, Neuroscience, or a related quantitative field.

Core Expertise:

Strong background in machine learning, deep learning, computer vision, and medical image analysis.

Agentic AI Focus:

A strong interest in, or willingness to learn and develop, Agentic AI applications to enhance medical imaging workflows and research.

Track Record:

Proven ability to conduct independent research, collaborate effectively, and publish in top-tier venues. Application Instructions Required documents for upload : Curriculum Vitae (CV), Research Statement (Highlighting your preferred research areas and how your expertise aligns with or bridges them), and

References:

Names and contact information for three professional references (requests will be sent directly through Interfolio)