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, they are ill-suited for inference about system's health in rapidly changing environment of wind turbines. Although physical laws can be enforced to learn a model whose parameters can be physically interpreted
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-physical energy systems. About the project AI:X is an ambitious initiative at Aalborg University that aims to advance AI research and create real-world impact through interdisciplinary collaboration, and
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. The project will generate new knowledge about how human-robot collaboration evolves in complex healthcare environments and about the organisational, infrastructural, and professional conditions that enable
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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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Students will be positioned in the section for Applied Power Electronic Systems. Your competencies A master’s degree in Electrical or Energy engineering (or about to complete) with a strong background in
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. Genetic risk predictions from the model will be used by the AI-integrated PhD to examine how individuals’ behavior and psychological safety are affected. The ideal candidate has completed, or is about to
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, they are difficult to search and analyse. The AI: PAGE Lab develops AI tools that transform historical texts into machine-readable and machine-understandable structured knowledge about the people, places and events
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Application process
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macroeconomic models with a particular focus on the Danish economy. Knowledge about the Danish economy will be considered an advantage. Likewise, candidates are expected to take an active part in ongoing MaMTEP’s
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uncertainty analysis to uncover the most significant variables in the derived limit states. Develop a reliability-based structural design framework for the support structure involving target reliability levels