Postdoctoral Fellowships in AI & Medical Imaging
University of Pennsylvania Perelman School of Medicine · Erie-Meadville Area · 2 wk ago
AnalystFull-time
About the role
Faculty Mentor: Yong Fan, PhD (Yong Fan, Ph.D. – AIBIL)
Department: Radiology
Funding Source: NIH
Number of positions: 3
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
- Ph.D. in Computer Science, Biomedical Engineering, Applied Mathematics, Neuroscience, or a related quantitative field.
- Strong background in machine learning, deep learning, computer vision, and medical image analysis.
- A strong interest in, or willingness to learn and develop, Agentic AI applications to enhance medical imaging workflows and research.
- Proven ability to conduct independent research, collaborate effectively, and publish in top-tier venues.