The Chair for Mathematical Foundations of Artificial Intelligence (https://www.ai.math.uni-muenchen.de) at Ludwig-Maximilians-Universität München, one of Europe’s leading universities, is part of the HighTech Agenda of the Free State of Bavaria. Due to the size of our group, we maintain a broad and diverse research portfolio, offering an exciting and interdisciplinary working and research environment. Our current research focuses include (1) Reliable AI, e.g., expressivity, generalization ability, and explainability of (graph) neural networks, and (2) Sustainable AI, e.g., spiking neural networks as energy-efficient alternatives to classical neural networks. Additionally, we develop mathematics-based AI methods for inverse problems and PDEs, as well as AI-based learning of physical laws, with applications in medicine, robotics, and telecommunication.
Your Tasks:
- Research in one of the group’s focus areas
- Publication of research results at international conferences and in leading journals
- Participation in academic self-governance of the group
Table of Content
Summary
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Benefits
- You will receive individual support for your career, a fair salary based on your qualifications and professional experience (up to TV-L E13), flexible working hours, as well as the opportunity to collaborate with internationally leading researchers and to participate in training programs and conferences worldwide.
- A PhD is possible within the scope of the position.
Requirements
- You are fascinated by the mathematical foundations of artificial intelligence and hold an excellent university degree in mathematics, computer science, or a related field.
- You work in a results-oriented and self-structured manner and are distinguished by your ability to work independently.
- In addition, you possess strong teamwork and communication skills, excellent analytical abilities, solid programming knowledge, a high level of commitment, and very good command of English.
Application Deadline
October 22, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
Ludwig Maximilians Universitat Munchen (LMU) on job-portal.lmu.de to apply
- Submit your application by email (one PDF, max. 5 MB) including the usual documents (cover letter, CV, copies of certificates and diplomas), addressed to: Prof. Dr. Gitta Kutyniok, e-mail:[ [email protected]](mailto: [email protected])
For questions, please contact Prof. Dr. Gitta Kutyniok directly at[ [email protected].](mailto: [email protected]).
For more information, kindly visit LMU portal.
