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following topics: Computational Fluid Dynamics (CFD) of high-temperature and pyrometallurgical processes; Molecular dynamics simulations of molten oxide and slag systems; Experimental determination of
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communication and collaboration skills and good understanding about mechanistic process modeling principles, phase equilibria, reaction engineering, heat and mass transfer, and fluid dynamics. A
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technologies Polymer science & engineering, process systems engineering & modelling, chemical reaction engineering, fluid dynamics & microfluidics AI, machine learning & automation technologies for
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technologies Polymer science & engineering, process systems engineering & modelling, chemical reaction engineering, fluid dynamics & microfluidics AI, machine learning & automation technologies for
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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surface physics, nanotechnology, microscopy, and fluid dynamics. We do not expect one candidate to already know every technique used in the project. More important is a strong experimental mindset
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simulation, computational fluid dynamics (CFD), computational solid mechanics, cyber security, data science, Earth systems, electrical systems, electromagnetics, hyperspectral imaging, machine learning
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-on and multidisciplinary research environment combining experimental surface physics, nanotechnology, microscopy, and fluid dynamics. We do not expect one candidate to already know every technique