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 - Chair of Mathematical Foundations of Artificial Intelligence Remuneration group TV-L Full-time / Part-time Full-time (100%) Start date June 1st, 2026 (to September 30th, 2027; with the option of extension).

About us:

The Chair of at Ludwig-Maximilians-Universität München (LMU) is part of the Mathematical Institute within the Faculty of Mathematics, Informatics and Statistics and contributes to the Bavarian Hightech Agenda.

Our research focuses on reliable AI, including questions of expressivity, generalization, and explainability of (graph) neural networks, as well as sustainable AI, for example spiking neural networks as an energy-efficient alternative to classical neural networks. In addition, we work on mathematically grounded AI methods for inverse problems and partial differential equations, as well as AI-based approaches to learning physical laws. Applications arise, among others, in medicine, robotics, and telecommunications.

The chair is also involved in several larger initiatives at LMU and in the Munich AI ecosystem, including the AI-HUB@LMU, the Konrad Zuse School of Excellence in Reliable AI, the Munich Center for Machine Learning, and the project “Next Generation AI Computing (gAIn)”, partly in leading roles.

We are looking for you:

Postdoctoral Researcher (m/f/x)

in Munich

Your tasks and responsibilities:

• Conduct independent research in the field of mathematical foundations of artificial intelligence
• Publish research results in international journals and at conferences
• Present research results at scientific conferences
• Contribute to interdisciplinary research projects and initiatives
• Help shape research structures and take on initial coordinating responsibilities, e.g., through (co-)supervision of PhD students or leading small teams

Your qualifications:

• Excellent PhD in Mathematics, Computer Science, or a related field
• Research focus preferably aligned with one of our research areas
• Strong programming skills
• Excellent command of English (written and spoken)
• Independent and structured working style, as well as strong teamwork skills
• Interest in collaborative research and a willingness to take on responsibility in research projects over time

Benefits:

• The opportunity to work in a topical and scientifically challenging research area
• Opportunities for academic development and gradual assumption of leadership responsibilities in research projects
• A collegial and international working environment
• Integration into the Munich AI ecosystem with diverse collaboration opportunities
• Excellent opportunities for scientific networking and career development
• A workplace in central Munich with very good public transport connections

The position is remunerated according to , depending on qualifications and professional experience. LMU Munich is committed to increasing the proportion of women in research and teaching and therefore strongly encourages qualified female candidates 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.

Please submit your documents as a single PDF file (max. 5 MB), including:

• Cover letter
• Curriculum vitae
• Copies of certificates and degrees
• Publication list
• Contact details of two references

by 24.04.2026 via e-mail through the “online application” function. Contact for inquiries: Prof. Dr. Gitta Kutyniok:

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Ludwig-Maximilians-Universität München
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