30 virtualization-"https:"-"https:"-"https:"-"IFM" PhD positions at Aalborg University
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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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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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, Aalborg University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40
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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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the person listed at the bottom of the job posting. Interviews are expected to be held in April 2026. Further information Read more about our recruitment process here. The assessment of candidates
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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