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research areas include, but are not limited to, approximation algorithms, combinatorial optimization, cryptology, data structures, fine-grained complexity, and algorithmic research bridging to ML/AI. Tenure
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communities in the field of proton exchange membrane electrolyzer catalyst material development, characterization, production and recycling, and contribute to research within applied science. The main tasks
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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materials and constructions. Use Material Flow Analysis (MFA) to explore optimal treatment pathways based on material composition. Collaborating with fellow doctoral researchers across the SCARPA network
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optimization. We are looking for a candidate who is motivated by both technical curiosity and making a real-world impact. Ideally, you: Have experience with AI models (e.g., graph neural networks, supervised
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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waveguide devices based on silicon carbide material. The overall aim is to demonstrate devices for application in quantum communication. The PhD student will participate in an international team in an EU
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the
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-learn, PyTorch) or physics-informed neural networks for thermal systems is a plus. Excellent communication and collaboration skills across disciplines. We offer DTU is a leading technical university
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)? At the Technical University of Denmark (DTU), we are offering a fully funded PhD position focusing on providing an excellent triple-I (interdisciplinary / intersectoral / international) research and training network