Mathias Niepert

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Professor

University of Stuttgart

Germany

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Mathias Niepert is a Full Professor of Machine Learning and Simulation Science at the University of Stuttgart, Germany. His research areas include explainability in graph neural networks, molecular dynamics, recurrent neural networks for automata extraction, and adversarial networks for cross-domain recommendation systems. His recent publications demonstrate a strong focus on developing methods for improving the interpretability and accuracy of machine learning models in various applications.

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Mathias Niepert

University Name

University of Stuttgart

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PhD Positions in Machine Learning for Science and Engineering at the Machine Learning and Simulation Lab

PhD openings are available at the Machine Learning and Simulation Lab (MLS) at the University of Stuttgart with Mathias Niepert . The lab works on machine learning for science and engineering, including generative AI for chemistry , learning to simulate physical systems , and controllable generative models for applications such as image and protein structure generation. Research themes highlighted in the post include building physical and geometric structure into learning systems, improving generalization to unfamiliar settings, and making generative AI more useful and controllable. Example projects mentioned include predicting chemical transition states beyond the training domain, mesh-free simulation of physical fields from geometry, and logical-constraint-guided diffusion models. Applicants are invited to apply through ELLIS and/or IMPRS-IS and should indicate Mathias Niepert as a preferred supervisor. The post gives two application routes: ELLIS applications open on 2026-10-01 and close on 2026-10-31 23:59 AoE ; IMPRS-IS has a deadline of 2026-11-15 at end of day AoE. No funding, stipend, or tuition details are stated in the post.

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