What are the responsibilities and job description for the Doctoral Researcher (m/f/x) position at Ludwig-Maximilians-Universität München?
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 - 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 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. 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:
Doctoral Researcher (m/f/x)
in Munich
Your tasks and responsibilities:
TV-L (up to E13)
, 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:
Contact for inquiries: Prof. Dr. Gitta Kutyniok:
kutyniok@math.lmu.de
Where knowledge is everything.
LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech.
Become part of LMU Munich!
In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our
LMU Privacy Policy
Geschwister-Scholl-Platz 1
80539 München
www.lmu.de
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Institution Faculty of Mathematics, Informatics and Statistics - 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 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. 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:
Doctoral Researcher (m/f/x)
in Munich
Your tasks and 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
- 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
- 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
TV-L (up to E13)
, 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
Contact for inquiries: Prof. Dr. Gitta Kutyniok:
kutyniok@math.lmu.de
Where knowledge is everything.
LMU researchers work at the highest level on the great questions affecting people, society, culture, the environment and technology — supported by experts in administration, IT and tech.
Become part of LMU Munich!
In the course of your application for an open position at Ludwig-Maximilians-Universität (LMU) München, you will be required to submit personal information. Please be sure to refer to our
LMU Privacy Policy
- By submitting your application, you confirm that you have read and understood our data protection guidelines and privacy policy and that you agree to your data being processed in accordance with the selection process.
Geschwister-Scholl-Platz 1
80539 München
www.lmu.de
Imprint
Accessibility