10.06.2026, Academic staff
---- Application is closed ---- 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.
---- Application is closed due to high number of applicants ----
The Institute for AI and Informatics in Medicine at TUM University Hospital is looking for a PhD candidate to work on 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 position is supervised by Dr. Alexander Ziller within the Institute for AI and Informatics in Medicine, directed by Prof. Daniel Rueckert, at the Technical University of Munich. 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. As part of a small, focused research team, you will have significant ownership over your research direction and work in close collaboration with the PI.
You will 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. The work involves both theoretical analysis and large-scale experimentation on medical imaging data. Results will be published at leading machine learning, medical imaging, and security venues and journals.
The position is available from October 2026. A later start date can be arranged if needed.
We believe in a transparent hiring process. Shortlisted candidates will first be invited to a brief introductory conversation (~30 minutes). Those who advance will be invited for an on-site visit including a longer discussion and the chance to meet the team. We aim to inform all applicants of their status by the end of July.
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. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
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Kontakt: [email protected]
Job details are sourced from the employer's original posting.
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The Technical University of Munich is a public research university for engineering, natural sciences, life sciences, medicine, and economics.