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well as industrial partners. Furthermore, you meet the following requirements: You hold a Master's degree in Materials Science and Engineering, Mechanical Engineering, Physics, Applied Physics, Metallurgy, or a
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phase change is called desublimation. Although cryogenic carbon capture can produce high-purity CO₂ without relying on chemical solvents, the physics of CO₂ desublimation is still not sufficiently
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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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combines microfluidics, bubble physics, and ultrasound signal processing to bring nanobubble imaging closer to clinical use. You will collaborate closely with a fellow PhD candidate, a postdoc, and a
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly imbedded in a physics environment, but the candidate strongly interacts with partners in applied physics, applied
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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physics, applied physics, nanoelectronics or comparable discipline at the time of taking on the position. Prior experience in solid-state quantum computing, including but not limited to spin
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics