Artificial Intelligence Ludwig-Maximilians-Universität München in Germany

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Keywords

About this position

I invite outstanding candidates to apply for a PhD Position in Mathematical Foundations of Artificial Intelligence at Ludwig-Maximilians-Universität München in our amazing Munich AI Ecosystem to work with me on cutting-edge research topics such as:
??Explainability
??Generalization
??Graph Neural Networks
??Inverse Problems and AI
??Next Generation AI Computing
??PDEs and AI, also Learning Physical Laws by AI
??Reliable AI
??Spiking Neural Networks
??Sustainable (Energy-efficient) AI
This is a position from our Munich Center for Machine Learning , hence the candidate can immediately take part in all exciting activities of this world-class center.

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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.

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Working at our chair offers you an interesting and responsible position with excellent opportunities for further training and professional development. 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. The position is limited to three years, with the possibility of extension.

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???????????????? ?????? ??????????????????????: October 22, 2025

BAIOSPHERE | relAI Konrad Zuse School of Excellence | AI-HUB@LMU | Technical University of Munich

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Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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