Job Description

Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching.



Institution Faculty of Mathematics, Informatics and Statistics - Mathematisches Institut Remuneration group TV-L Full-time / Part-time Full-time (100%) Start date 2026-02-01 (limited to 2029-01-31) Application deadline 2025-12-15

About us:

As an AI chair at the Mathematical Institute of the Faculty of Mathematics, Computer Science and Statistics at Ludwig-Maximilians-Universität München, the Chair for Mathematical Foundations of



Artificial Intelligence



is part of the High-Tech Agenda of the Free State of Bavaria. Current research focuses include (1) reliable AI, e.g. expressivity, generalization ability and explanatory work of (graph) neural networks, and (2) sustainable AI, e.g. spiking neural networks as an energy-efficient variant of classic neural networks. We are also working on mathematically based AI methods for inverse problems and PDEs, as well as AI-based learning of physical laws; with applications in the fields of medicine, robotics and telecommunications. The chair is responsible in a leading role for various large-scale initiatives at the LMU as well as in the Munich area, including the AI-HUB@LMU, the Konrad Zuse School of Excellence in Reliable AI, the planned Munich House of AI as well as the Bavaria-Saxony project “Next Generation AI Computing (gAIn)”. The position to be filled is part of the project “KI-ROBUST: Artificial Intelligence and Robust Optimization for Dealing with Uncertainties in Radiation Therapy”. In this interdisciplinary project, we are developing an AI system that will shape radiotherapy of the future: reliable, trustworthy and directly clinically relevant. Our technology is intended to fundamentally improve treatment planning by automatically and precisely contouring tumors - even with particularly complex or irregular shapes. At the same time, the system provides clear information about diagnostic uncertainties so that doctors can concentrate specifically on the crucial areas. This not only reduces the effort required for consistent contouring, but also makes a key contribution to making cancer treatments faster, safer and ultimately more effective

We are looking for you:

PhD Student (m/f/x)



in München

Your tasks and responsibilities:

Research on the “KI-Robust” project Publication of research results primarily in national and international journals Presentation of research results at international conferences

Your qualifications:

You have a very good university degree in mathematics, computer science or a comparable subject, preferably with a focus on an area of mathematical fundamentals and/or the explainability of artificial intelligence. You have very good programming skills. You are fluent in spoken and written communication in German and English.

Benefits:

An exciting and responsible job in a highly topical research area with excellent training and development opportunities and the possibility of a PhD Embedding in the unique Munich AI ecosystem with numerous interdisciplinary networking and cooperation opportunities A pleasant, collegial working atmosphere in a highly international department A workplace in a central location in Munich that is very easy to reach by public transport

Remuneration is based on appropriate qualifications and professional experience up to



TV-L E13



. The Ludwig Maximilian University of Munich strives to increase the proportion of women in academic staff and expressly encourages qualified women to apply. Also possible in a part-time capacity.



People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact:

We look forward to receiving your application by e-mail (a PDF, maximum 5 MB) with the usual documents (cover letter, CV, copies of certificates and certificates, list of publications, contact details of two people for letters of support) by December 15, 2025 to Prof. Dr. Gitta Kutyniok, bewerbungen-math4ai@math.lmu.de.

If you have any questions, please contact Prof. Dr. Gitta Kutyniok (kutyniok@math.lmu.de



) is available.



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