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Field
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their potential to host life, while also paving the way for climate simulations of more Earth-like planets that will be targeted by future observatories. Key objectives Develop atmospheric and climate models
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connection with frontier experiments in infrared nanophotonics and nanoscale microscopy. The work will combine multiscale electromagnetic simulations and analytical modelling to interpret and guide advanced
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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great
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, while also paving the way for climate simulations of more Earth-like planets that will be targeted by future observatories. Key objectives Develop atmospheric and climate models for sub-Neptune exoplanets
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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Empa within the framework of SURPASS are as follows: Volumetric prestressing of cast and 3D-printable SURPASS overlays using Fe-SMA fibres. Meso-scale finite element modelling of volumetric prestressing
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the performance of the welded interface. Implement the developed models in commercial FE simulation software for the development of a digital twin and validate their accuracy against experiments. We are looking