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environments. The project will explore how learning-based and agentic AI systems (e.g., agents built on large language or foundation models) can be combined with physics-informed process models, digital
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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learned control policies and neural representations of movement in collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied
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technology transfer activities Profile PhD in microengineering, electrical engineering, mechanical engineering, applied physics, materials science, or a closely related field Strong hands-on experience