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At the Faculty of Engineering and Science, Department of Materials and Production, a PhD stipend is available within the doctoral programme Materials Science, Mechanical and Manufacturing
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more about the department at www.es.aau.dk. Your work tasks The PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic
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) includes research and teaching, including supervision of master and PhD students. Further, it includes dissemination, government consultancy, and cooperation with the building industry as well as development
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with a total of 18 PhD stipends. The AI:INFRA Lab is part of the AI:X initiative with two PhD stipends and is a collaboration between the Department of Materials and Production, the Faculty
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international academic journals. You can demonstrate the potential to develop an independent research profile. Holding a PhD or being close to completing one (i.e., the PhD must be completed before the starting
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learning, data analytics, and AI-assisted control/maintenance, to enhance performance, reliability and maintainability of power electronic systems. Teaching and supervision are integral parts
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted
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across the range of modules offered on the LISE BA and CCG MA programs, e.g. experience with courses on European politics, policy analytical approaches, European public spheres • Be able to assist with
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continuous improvement. Emphasis is placed on robustness/uncertainty, data quality, and translating analytical insights into strategic and managerial decisions. This domain links technology adoption with
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rigorous work. You should have completed, or be close to completing, a PhD in a field relevant to leadership, management accounting or similar and be able to demonstrate the potential for developing