Post-Doc Research Associate

The University of North Carolina at Chapel Hill is a leading public research university committed to innovative teaching, research, and public service. The Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis, developing and validating computational methods that integrate images with multimodal data. The role also involves scholarly publications, grant preparation, research software documentation, interdisciplinary collaboration, and potential mentoring of junior researchers.

Responsibilities:

• Design, implement, and evaluate algorithms and models
• Processing and curating large clinical datasets
• Developing reproducible computational pipelines
• Conducting internal and external validation studies
• Evaluating model discrimination, calibration, and robustness
• Working with collaborators to interpret study findings
• Lead or make substantial contributions to peer-reviewed publications, conference presentations, and research reports
• Assist with preparation of grant proposals and regulatory or data-governance materials
• Document and share research software
• Participate actively in interdisciplinary research meetings
• Mentor graduate and undergraduate researchers
• Contribute to collaborative projects involving computer science, biomedical engineering, radiology, cardiology, and population health