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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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to mechanical forces. We work with leading international groups on modeling and also conduct simulations at DTU. Our overarching goal is to understand and predict the mechanical behavior of metals during plastic
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.” This position is part of the IntelliWind (Intelligent Systems for Autonomous Wind Power Plant Operations) project, a prestigious Marie Skłodowska-Curie Doctoral Network (MSCA DN) funded by the European Union. As
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the European Innovation Council (EIC), you will work in close collaboration with researchers at DTU, Cambridge University, Technical University Munich, Imperial College London and the company SolarFoods. You
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and its role in building green technologies, here is a perfect PhD project for you. Electrocatalysts are essential materials for producing green fuels and chemicals. Conventional electrocatalysts with
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dioxide, and you may read more about our activities at https://corc.au.dk/ . Here, we seek a motivated and qualified PhD student to join CORC’s satellite at DTU. The successful candidate will become part of
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global water contamination through advanced materials science. Your Role: Investigate the structural and chemical dynamics of molecular adsorption processes using advanced characterization techniques
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and industrial applications. In the long term, this work aims to contribute to a reduction in resource use and carbon emissions by improving the efficiency, reliability, and durability of concrete
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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induced defects and the resultant fatigue life of metal additive manufactured samples. The project is part of a Villum Investigator grant titled “Microstructural engineering of additive manufactured metals