We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary collaboration between Dr. Yuan Xue (Department of Biomedical Informatics) and Dr. Andrea Ferreira Zandona (College of Dentistry) at The Ohio State University. This position offers a unique opportunity to lead cutting-edge research at the intersection of artificial intelligence and dental health, with a focus on building multimodal AI models to predict dental caries progression.

The successful candidate will work on developing deep learning and computer vision models using longitudinal dental imaging dataprimarily intraoral radiographsintegrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and accurate prediction of caries lesion progression to support precision prevention and treatment planning. The postdoc will lead efforts to design multimodal learning architectures (e.g., attention-based fusion, progression-aware temporal modeling), perform rigorous model validation, and help translate research findings into clinically meaningful insights in close collaboration with dental experts.

This is a full-time position based in Columbus, Ohio with an initial appointment of two years and the possibility of extension based on performance and funding. The postdoctoral fellow will be primarily based in Dr. Xues lab at the Department of Biomedical Informatics but will work closely with Dr. Zandonas team at the College of Dentistry, one of the nations top programs in cariology research. The position includes competitive salary and benefits through Ohio State, as well as funding for travel to present at leading conferences.

How to Apply

To apply, please submit your application electronically via Workday and send the following materials in a single PDF to Dr. Yuan Xue at yuan.xue@osumc.edu:
(1) a cover letter describing your research background, interests, and career goals;
(2) your CV with a list of publications; and
(3) contact information for three professional references. Review of applications will begin immediately and continue until the position is filled.

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

Job Requirements:

Required:

• PhD in computer science, biomedical informatics, electrical engineering, or a related field
• Demonstrated expertise in machine learning, deep learning, and image-based modeling.
• A strong publication record in top-tier venues (e.g., MICCAI, CVPR, NeurIPS, AAAI, or related)

Desired:

• Experience with multimodal data integration, longitudinal outcome prediction, or medical/dental imaging
• Background in radiographic image processing or a strong interest in clinically grounded AI development
• Prior knowledge of dentistry is preferred.

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