PhD in Generative AI for Medical Transformation and Synthetic Medical Data University of Technology of Troyes in France

PhD opportunity at the University of Technology of Troyes (UTT) in Generative AI for Medical Transformation / GenMed.

The project sits at the intersection of computer science, medical science, mathematics, and statistics, with a strong focus on AI for health, synthetic medical data, and digital twin development. The goal is to build a realistic patient digital twin by creating a framework for generating coherent synthetic medical data across multiple modalities, including images, signals, text, and numerical data.

The research plan includes dataset analysis and selection, regulatory compliance and quality criteria for synthetic data, implementation of diffusion models, GANs, temporal generators, and LLMs, plus validation of generated data with medical experts. The work also aims to support a realistic virtual patient for testing and improving medical AI tools.

Eligibility: Engineering degree or Master’s (M2) in AI, computer science, applied mathematics, or a related field. Applicants should have strong Python and machine learning skills and an interest in healthcare applications.

Funding: Funding is requested for a PhD start in October 2026; no stipend amount is given in the post.

How to apply: Send your CV and academic transcripts for the last three semesters, with ranking if available, to the listed UTT email addresses. The LinkedIn post link provides additional details.