Doctoral Researcher (m/f/x)

Ludwig‑Maximilians‑Universität München is a leading research university in Europe.

About us

The Chair of Mathematical Foundations of Artificial Intelligence at 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. We also work on mathematically grounded AI methods for inverse problems, partial differential equations, and AI‑based approaches to learning physical laws. Applications arise, among others, in medicine, robotics, and telecommunications.

The chair is involved in several larger initiatives at LMU and in the Munich AI ecosystem, including AI‑ , 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.

Responsibilities

• Conduct 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
• Support the research activities of the group and collaborate with other researchers

Qualifications

• Excellent Master’s degree (or equivalent) in Mathematics, Computer Science, or a related field
• Strong interest in one or more of our research areas
• Good programming skills
• Very good command of English (written and spoken)
• Independent and structured working style, as well as strong teamwork skills
• Motivation to pursue a doctoral degree

Benefits

• The opportunity to pursue a doctoral degree (PhD) in a topical and scientifically challenging research area
• Close supervision and integration into an active research group
• A collegial and international working environment
• Integration into the Munich AI ecosystem with diverse collaboration opportunities
• Excellent opportunities for scientific networking and academic development
• A workplace in central Munich with very good public transport connections

Remuneration

TV‑L (up to E13), depending on qualifications and professional experience.

The position can also be undertaken on a part‑time basis.

EEO Statement

LMU Munich is committed to increasing the proportion of women in research and teaching and therefore strongly encourages qualified female candidates to apply. People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Contact

Contact for inquiries: Prof. Dr. Gitta Kutyniok –