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the opportunity you’ve been seeking. Join us to tackle some of the most intriguing and impactful challenges in the domain of wind energy, digitalization, and autonomous decision-making. We are looking for a
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decision-making. Collaborate with international partners and contribute to joint research activities. Teach and co-supervise students at different levels in courses and associated projects. Publish and
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transportation planning and resource management, where better decision-making can benefit both society and the environment. In this PhD project, the primary focus will be on improving exact optimization methods
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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environmental applications of microsystems and the ability to interact with researchers in a very interdisciplinary environment. A high grade average and excellent English language skills are decisive to be
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, show ambition and self-responsibility, and demonstrate the determination to contribute to the success of the project at the highest international level. You must have a two-year master's degree (120 ECTS
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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manufacturing concepts improves decision-making, reduces costs, and enhances cross-functional collaboration. The project also addresses practical implementation challenges in existing industrial settings. A key
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and