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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
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dispersion. Yet conventional Computational Fluid Dynamics (CFD) workflows rely on watertight geometric models and volumetric meshes that are slow, complex, and costly to produce. Within the POINT-TWINS project
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dynamics (CFD) using software such as COMSOL or Autodesk CFD, or the willingness to learn these tools; conceptualising complex offshore energy systems and translate them into computational models
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of Mechanical Engineering). This environment facilitates the exchange of research knowledge with colleagues also working in CFD and ML, both in applied and fundamental areas. The candidate will develop
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of the Department of Maritime and Transport Technology (Faculty of Mechanical Engineering). This environment facilitates the exchange of research knowledge with colleagues also working in CFD and ML, both in applied
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: reduced-order models (ROMs) and input-output models derived from high-fidelity Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter
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Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on