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for Molecular Medicine in the Helmholtz Association, founded in 1992, today inspiring and nurturing a diverse talent pool of 1,800 people from over 70 countries. We are 90 percent funded by the German federal
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Interaction and Computational Interaction. • Work in a dynamic, collaborative environment with leading experts. • Have access to state-of-the-art facilities and a stimulating research setting. • Participate in
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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
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– 57k Euro / year + benefits). Topics include: Neural Rendering, 3D Reconstruction, SLAM / Pose Tracking, Semantic Scene Understanding, Face/Body Tracking, Non-Linear Optimization, Media Forensics / Fake
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investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of Information-Oriented Control we focus on research and teaching of control and optimization of cooperative, networked, and distributed dynamical systems. We develop novel methods and tools for the analysis and
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the student solutions using machine learning. We offer: - International and gender-balanced group - Dynamic and collaborative work style - Flexible working hours, home office possibilities etc. - Full-time
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and simulation work. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data
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stimulating environment (TranslaTUM) - a young and dynamic international research group - Further training opportunities - Initial employment contract for 2-3 years with a standard public service salary (TV
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• Strong background in robotics, kinematics and dynamics • Prior experience in control with tactile sensing or adaptive learning control for robotic manipulators is a plus • Strong communication skills