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Optimization, within the context of sustainable water-based cooling in megacities. The stipend is open for appointment from February 1, 2026. or soon hereafter. The duration of the position is three years
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued
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-largest contributor to global electricity growth. The holistic research investigating the optimal transmission configurations, sizing, control, and scheduling of cooling that is tailored to building
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analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
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, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab