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Development of model predictive control algorithms for energy-efficient and flexible building Contribution to prescriptive maintenance strategies and user-centric digital interfaces The position requires close
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Stipend: Human-Machine Interfacing for Semi-Autonomous Robotic Prostheses This project will develop novel AI algorithms to decode human intention from electrophysiological signals (e.g., EMG) for intuitive
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for behavioural and security properties; efficient algorithms for model checking, learning and synthesis; improved explainability and safety of machine learning models, e.g. by integrating neural and symbolic
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, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies