University of Pennsylvania
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6 days ago
Postdoc in Translational AI for Medical Imaging and Clinical Decision Support at UPenn University of Pennsylvania in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral research role; funding details are not specified in the post. The position is at UPenn/Perelman School of Medicine, Department of Radiology, with hybrid work possible.
Country
United States
University
University of Pennsylvania

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About this position
Postdoctoral position in translational AI for medical imaging at the University of Pennsylvania, Perelman School of Medicine, Department of Radiology, with the INSIGHT Lab. The role focuses on AI for longitudinal clinical and imaging analysis, serial medical images, and clinical decision support.
Research topics include large language models (LLMs) and RAG for clinical data, deep learning pipelines for registration, segmentation, and detection, multimodal AI combining imaging, text, and clinical data, as well as clinical evaluation and human-AI interaction. The post also mentions validation work, large-scale imaging datasets, manuscript writing, grant support, and cross-disciplinary collaboration.
Applicants should hold a PhD, MD, or MD-PhD in Computer Science, Biomedical Informatics, Electrical Engineering, Bioengineering, Data Science, Computational Biology, Medical Physics, or a related field. Strong Python and PyTorch/TensorFlow skills and prior publications are required. Preferred experience includes foundation models/LLMs, medical image analysis, reinforcement learning or agentic AI, and AI deployment in healthcare.
To apply, send a CV, cover letter describing your interests and goals, 3 references, and up to 3 publications. The post indicates Philadelphia, PA and notes that hybrid work is possible.
Funding details
Postdoctoral research role; funding details are not specified in the post. The position is at UPenn/Perelman School of Medicine, Department of Radiology, with hybrid work possible.
What's required
PhD, MD, or MD-PhD in Computer Science, Biomedical Informatics, Electrical Engineering, Bioengineering, Data Science, Computational Biology, Medical Physics, or a related field. Applicants should have strong Python and PyTorch/TensorFlow skills and a publication record. Preferred experience includes LLMs/foundation models, medical image analysis, reinforcement learning or agentic AI, and AI deployment in healthcare.
How to apply
Prepare a CV, a cover letter describing your interests and goals, contact information for 3 references, and up to 3 publications. Submit these materials through the application process implied by the post.
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