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reaching or has exceeded its design lifetime while being exposed to harsher operational conditions than originally designed for. Fatigue, where repetitive loads initiate and propagate cracks, is a key
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks The PhD project will investigate wireless-native physical AI systems, with
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overall focus will be to strengthen the department’s expertise in closing the building “performance gap” through data-driven building operation optimization and system innovation. You will bridge advanced
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electricity generation, energy prices and wider energy-system conditions. The work will combine process simulation with operational optimization, techno-economic assessment and model validation. The research
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fellowship at AAU Energy, you will work with dynamic modeling, simulation and optimization of Power-to-X processes for renewable fuel production, such as green methanol and sustainable aviation fuel produced
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reaching or has exceeded its design lifetime while being exposed to harsher operational conditions than originally designed for. Fatigue, where repetitive loads initiate and propagate cracks, is a key
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-system performance and onboard sensing. A propulsion system optimized only for thrust or maximum speed may not provide the best platform for robust guidance, trajectory tracking, obstacle avoidance
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. AEGIS sits where two fast-growing fields meet: datacentres and AI infrastructure on one side, energy and power systems on the other. Few people today can work across both, so the skills you build here
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results into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks Applications are invited for a three year PhD