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for Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization, in
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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support recipe optimisation for well-controlled materials and processes, you will investigate whether similar methods can be applied to mechanical recycling from heterogeneous waste streams. The ambition is
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years. Your work tasks This PhD project focuses on the design and control of energy-efficient hydraulic systems with integrated safety functionalities. The overall objective is to develop innovative
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is desirable. Familiarity with optimal, robust, or adaptive control approaches, particularly multi-objective formulations balancing energy performance and structural loads, will also be beneficial
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be considered an advantage if you have experience with safety-critical systems, multi-agent autonomy, or learning-based/data-driven/robust/adaptive control under uncertainty, supported by strong
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methodological research with robust software implementation and real-world deployment in a large international research infrastructure. Relevant research directions include, but are not limited to: Agentic AI
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, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background