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Chemistry » Molecular chemistry Chemistry » Inorganic chemistry Chemistry » Physical chemistry Chemistry » Other Engineering » Materials engineering Physics » Acoustics Physics » Applied physics Physics
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. Empa is a research institution of the ETH Domain. The Coating Technologies Group in Empa's Laboratory for Surface Science & Coating Technologies performs physical vapor deposition (PVD) of innovative
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Research (NCCR) dedicated to advancing muon science across particle physics, quantum materials, and applications ranging from energy research to cultural heritage. Muoniverse brings together 30 research
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of electron spectroscopy experiments Modelling of experimental data Your profile The position is immediately available for a candidate with a master's degree (or equivalent) preferably in physics, physical
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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a PhD thesis at ETHZ Your profile We are looking for a highly motivated, committed, and talented candidate. The successful candidate should hold an MSc (or equivalent) in chemistry, physics
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system models to analyse whether spatially coherent urban and energy configurations can be operated efficiently under realistic physical, spatial, and infrastructural constraints. The work aims to identify
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of students Your profile University Master's degree in process engineering, chemical engineering, mechanical engineering or materials science with some (CFD) experience. Good technical knowledge and/or high
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that will shape your research career. Your profile We are looking for 2 highly motivated PhD students with a strong analytical background and an MSc degree in Physics, Computational Chemistry, Materials
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures