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international flavour and has partnerships with more than 70 universities worldwide. (https://www.tu-dresden.de/ ) The Institute of Aerospace Engineering is comprised of 4 chairs: Space Systems, Flight Mechanics
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, and are differential-algebraic systems (DAE). This is the case with shape deformation, aeroelasticity, structural deformation or surface ablation mixed with flight dynamics and optimal control. Multi
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the population-level models to longitudinal patient trajectories; Design dynamic risk models that evolve over time with changing exposures; Develop feedback mechanisms that translate AI predictions into citizen
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applications. You will be part of a dynamic research team applying advanced remote sensing and simulation methods to study soil-vegetation-atmosphere interactions. Your main responsibilities will include: Fly
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to longitudinal patient trajectories; Design dynamic risk models that evolve over time with changing exposures; Develop feedback mechanisms that translate AI predictions into citizen-facing environmental health
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dedicated cleanroom area supports the assembly and integration of flight hardware, ensuring high reliability and adherence to space standards. Adjacent to the electronics lab, the Space Technology Testing
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, natural sciences, humanities and social sciences. Today over 19.000 students enrolled and 5500 employees work in 10 faculties. (https://www.uni-stuttgart.de/en/ ) The Institute of Space Systems is one
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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to drive progress in aerospace: aerodynamics, flight dynamics, propulsion, structural strength, materials, optics and laser, acoustics, radar and electromagnetism, electronics, systems, robotics, information
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the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology