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numerical, utilizing computational fluid dynamics (CFD) to create high-resolution simulations. These simulations will capture the intricate turbulent dynamics of the flows, providing a detailed picture of
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well as collaborate with others with effective written/oral communication skills. Knowledge of fluid mechanics or CFD is essential. Experience in programming (Fortran/C++/Python) and knowledge of acoustics and solid
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spearhead the development of next-generation data-driven wind farm flow models – Combining deep learning and high-fidelity simulations (CFD, meso-scale, and meso-scale-LES). You’ll then apply these cutting
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have a strong background in marine hydrodynamics or applied mathematics, as the study will involve mathematical modelling and taking demanding PhD courses. Both potential flow theory and CFD will be
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formation. Complementing these experimental efforts, Computational Fluid Dynamics (CFD) simulation will be employed to interpret CRUD build-up measurements, identify key phenomena influencing CRUD deposition
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of English proficiency may be required. The project will provide numerous research and development opportunities including: Development of phenomenological and CFD models for aeration systems of sewage
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demanding PhD courses. Both potential flow theory and CFD will be applied. There are also possibilities for conducting model test. As a PhD Candidate with us, you will work to achieve your doctorate, and at