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engineering. As a department we strive towards creating sustainable energy and a greener internet, as well as strengthening cyber security and health technology. We work with industry and public organisations
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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and
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); specialization in digital twins and software engineering of control systems (PhD#3). Experience with swarm robotic systems, manipulator design, cyber-physical systems, SIMULINK, and robotic software development
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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics
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, this PhD position is for you. At DTU Compute, you will develop novel methods in streaming process mining and artificial intelligence to tackle real-world cyber threats, working side by side with leading
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systems, cyber security, or related fields Knowledge of privacy-preserving mechanisms, optimization, control, probability/statistics, game theory, mechanism design, or machine learning (at least one
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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where variable renewable energy sources are involved. Emerging digital and cyber-physical systems technologies are an integral component of grid interactive efficient buildings. Through advanced control