Postdoc in AI for Medical Imaging & Neuroimaging Analytics

University of Pennsylvania; Philadelphia (Philadelphia County); On-site; USD 65,000 - 85,000; Full time

Job summary

A prestigious university in the United States is seeking highly motivated Postdoctoral Fellows for AI & Medical Imaging. This NIH-funded position requires a strong background in machine learning and medical image analysis. Candidates should hold a Ph.D. in relevant fields and demonstrate a track record of independent research. Successful applicants will work on innovative projects at the intersection of machine learning and clinical data science, offering a flexible and collaborative research environment. Applications should include a CV, research statement, and references.

Qualifications

• Strong background in machine learning, deep learning, computer vision, and medical image analysis.
• Proven ability to conduct independent research and publish in top-tier venues.
• Interest in developing Agentic AI applications for medical imaging.

Responsibilities

• Drive innovative research at the intersection of machine learning and medical imaging.
• Develop advanced statistical and ML methods for neuroimaging.
• Utilize computer vision for automated segmentation and classification.

Skills

Machine learning

Deep learning

Computer vision

Medical image analysis

Education

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

Job description

A prestigious university in the United States is seeking highly motivated Postdoctoral Fellows for AI & Medical Imaging. This NIH-funded position requires a strong background in machine learning and medical image analysis. Candidates should hold a Ph.D. in relevant fields and demonstrate a track record of independent research. Successful applicants will work on innovative projects at the intersection of machine learning and clinical data science, offering a flexible and collaborative research environment. Applications should include a CV, research statement, and references.