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Computational Fluid Dynamics (CFD) and Artificial Intelligence (AI) for future flexible hydropower operation. Your work assignments As a PhD student, you will conduct research at the intersection of
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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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can improve the temperature prediction, the predictive accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including
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physical dynamics is fundamentally limited by two factors: the extreme opacity of 3D geo-materials and the inherent structural variability of living microbial communities. As a PhD researcher in Ghent
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fluid dynamics. A Master’s degree in Chemical Engineering, or related field is required. Applicants must fulfill the eligibility and admission criteria for Aalto Doctoral Programme in Chemical
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these can work together to reduce hydrodynamic forces and create conditions for ecosystem recovery. You will develop and apply computational fluid dynamics (CFD) models to explore how tidal currents and
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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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next-generation pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A
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Job Description The Section for Structures and Safety at DTU Civil and Mechanical Engineering Department is looking for an ambitious, motivated and skilled PhD student eager to dedicate three years