PhD Position in Trustworthy AI for Medicine at the Chair for AI in Medicine

Position

We are looking for a PhD candidate to join our team and work on trustworthy, privacy‑preserving AI for medicine. The position is full‑time (TV‑L E13) for three years at TUM University Hospital.

About Us

The Institute for AI and Informatics in Medicine at TUM University Hospital is looking for a PhD candidate to conduct research at the intersection of machine learning, data privacy, and medical imaging. The position is part of a three‑year research project that investigates how privacy‑preserving methods for medical AI can be made more rigorous, starting from systematically evaluating existing approaches to developing new methods with formal guarantees. The research group is based at TUM University Hospital (Klinikum rechts der Isar) and works on privacy‑preserving machine learning for healthcare, with a focus on bridging the gap between empirical privacy methods and provably robust solutions.

Responsibilities

• Conduct research across three interconnected areas: benchmarking existing privacy‑preserving methods in medical AI under standardized conditions, investigating realistic vulnerabilities in deployed AI systems, and developing novel approaches to generating synthetic medical data with formal privacy guarantees.
• Perform both theoretical analysis and large‑scale experimentation on medical imaging data.
• Publish results at leading machine learning, medical imaging, and security venues and journals.

Qualifications

• Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline.
• Solid mathematical foundations and strong programming skills.
• Proficiency in Python and experience with deep learning frameworks such as PyTorch.
• Ability to work independently and take initiative in driving research forward.
• Interest in topics such as data privacy, generative models, or medical image analysis.
• Fluency in written and spoken English.
• Prior research or professional experience is a plus.

Benefits

• Full‑time position (100%, TV‑L E13) for three years with the opportunity to pursue a doctoral degree.
• Research environment with access to high‑performance computing infrastructure and medical datasets.
• Publication‑oriented research targeting top‑tier conferences and journals.
• An interdisciplinary environment at one of Europe’s leading technical universities and university hospitals.

The position is available from October 2026. A later start date can be arranged if needed.

TUM is committed to increasing the proportion of women in research and explicitly encourages applications from qualified women. Applications from candidates with disabilities who are equally qualified will be given preference. The position is suitable for disabled persons, and disabled applicants will receive preference in case of generally equivalent suitability, aptitude and professional performance.