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simulation-assisted performance feedback regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy
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to explore GNSS Reflectometry (GNSS R) as a novel, low cost, low power bistatic remote sensing technique optimized for nanosatellite platforms. GNSS R leverages signals of opportunity from existing
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every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg) The PhD position focuses on next‑generation power
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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and optimization methods for Earth observation satellite networks with sensing, computing, and communication capabilities. The goal is to characterize the trade-offs between sensing accuracy, computing
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interest in the topic, even if their background does not match every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg
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for biomarker detection exploring redox amplification and dielectrophoresis. Our hypothesis is that specifically designed and optimized 3D carbon micro- and nanoelectrodes fabricated at DTU Nanolab will enable
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, programming, and computer simulations. The focus of the project (funded by the Danish Council for Independent Research) is to explore the interaction between optimally controlled coherent (laser) light fields
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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Job Description Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD