Post Doctoral Associate (AI in Medical Imaging), University of Florida, USA

Summary

The Department of Radiology at the University of Florida (UF) is seeking a Post Doctoral Associate (AI Postdoctoral Fellow) to design and conduct advanced artificial intelligence research in medical imaging. The role focuses on developing clinically impactful machine learning/deep learning models, collaborating with physician-scientists, publishing in high-impact journals, and advancing translational and grant-funded imaging research.

Post Doctoral Associate (AI in Medical Imaging)

Designation

• Position Title / Designation: Post Doctoral Associate (AI Postdoctoral Fellow)
• Job Number: 540937
• Work Type: Post Doc Associate / Full-Time
• Department: 29130100 – MD-RADIOLOGY-ADMINISTRATION
• Institution: University of Florida (UF)

Overview Table

Research Area

• Primary Domain: Artificial Intelligence & Machine Learning in Medical Imaging / Healthcare
• Focus Topics: Deep learning architectures, CT/MRI/PET/Chest X-ray analysis, multimodal data fusion, foundation models, self-supervised learning, federated learning, explainable AI, and clinical translation.

Location

• Campus: Main Campus (Gainesville, FL)
• Institution: University of Florida, Gainesville, FL 32611

Eligibility / Qualification

Required Qualifications:

• Degree: Ph.D. in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related STEM discipline.

Preferred Qualifications:

• Demonstrated experience developing machine learning models for healthcare or medical imaging applications.
• Strong track record of scholarly research and peer-reviewed publications.
• Experience translating imaging AI into clinical practice (workflow integration or deployment).
• Experience with large-scale or multicenter datasets (e.g., NIH, UK Biobank, OSIC).
• Specialized expertise in foundation models, self-supervised learning, federated learning, explainable AI, or multimodal data fusion.
• Understanding of academic medicine and potential for long-term leadership in translational AI research.

Job Description & Key Responsibilities

• Research & Development: Conduct independent and collaborative AI research in medical imaging; develop novel ML/DL algorithms for clinical, research, and educational radiology applications.
• Model Engineering: Build, train, validate, and optimize AI/ML models utilizing CT, MRI, PET, chest X-ray, and multimodal imaging datasets.
• Data Management: Preprocess and curate large-scale clinical imaging files (DICOM, NIfTI) adhering strictly to data integrity, reproducibility, privacy, and regulatory standards.
• Validation & Testing: Perform comprehensive model evaluations, external validation, robustness testing, and fairness/bias assessments.
• Publishing & Presentation: Lead manuscript preparation for high-impact peer-reviewed journals and present at conferences (e.g., RSNA, MICCAI, SIIM, ISMRM).
• Grants & Funding: Support grant proposal development by writing technical aims, preparing preliminary data, and creating methodological narratives.
• Mentorship: Mentor junior researchers, residents, and students; participate actively in laboratory meetings.
• Code & Pipeline Maintenance: Build and maintain reproducible, well-documented AI pipelines using version control and experiment tracking.

How to Apply

1. Visit the official University of Florida Careers portal: Job No. 540937 Application Page.
2. Click “Apply now”.
3. Upload the required documents:
   • Cover Letter
   • Most Recent Curriculum Vitae (CV)

Last Date to Apply

• Deadline: August 24, 2026 by 11:55 p.m. (Eastern Time)

Link