Holger Boche

Ludwig-Maximilians-Universität München invites applications for a PhD or postdoctoral position in the Chair for Mathematical Foundations of Artificial Intelligence (MATH4AI), led by Prof. Dr. Gitta Kutyniok at the Mathematical Institute. The position is located in Munich and is connected to an international research team working at the interface of mathematics and artificial intelligence. The researcher will join the project “Spiking Neural Networks: Theoretical Foundations, Trustworthiness, and Energy-Efficiency” , conducted in cooperation with Prof. Dr. Holger Boche of the Technical University of Munich. Spiking neural networks offer a brain-inspired approach to artificial intelligence and may help address the high energy consumption and limited trustworthiness of current AI systems. The project develops mathematical foundations for spiking neural networks, with emphasis on reliability, trustworthiness, and energy-efficient AI computing. The work is embedded in the DFG Priority Programme SPP 2298, “Theoretical Foundations of Deep Learning,” providing opportunities to engage with the German interdisciplinary research community in theoretical deep learning. Responsibilities include conducting research on the project questions, publishing results in leading national and international journals, presenting findings at international conferences, and contributing to activities of the DFG Priority Programme. The MATH4AI environment covers mathematical foundations of AI, representation power, learning, generalization, explainability, image processing, inverse problems, and next-generation AI computing. The position offers an international and collegial research setting within Munich’s broader AI ecosystem, including initiatives such as AI-HUB@LMU, the Konrad Zuse School of Excellence in Reliable AI, and the Bavaria–Saxony initiative gAIn for next-generation green AI computing.