医学可信AI方向博士职位

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

10.06.2026, Academic staff

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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. About us 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. Your role 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. Your profile • 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

What we offer • Full-time position (100%, TV-L E13) for three years with the opportunity to pursue a doctoral degree • A 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. Our process 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.

Data Protection Information:

When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: alex.ziller@tum.de