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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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international collaboration with partners in Switzerland with academia, clinics and industry, mentoring MSc, and PhD students. Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab ) will
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, computational imaging, and theory. The position will work on multiple problems in these domains, to develop mathematical and algorithmic foundations for deep unsupervised learning for imaging with improved
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research at the interface between geometry, mechanics, materials science, computation, and control theory. PhD positions Applicants for PhD positions are expected to have a strong background in mathematics
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, collaborating with several research groups working in related fields, particularly in algebraic geometry and algorithmic algebra. For more information about the TUM Department of Mathematics, please visit our
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: Dynamical Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members