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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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of the manufactured welds Analyzing by advanced techniques the metallurgy of the heat effected zone to unravel microstructural secrets in these very special dissimilar material joints Interpreting all the obtained
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will be involved in various international initiatives and engaged with different stakeholders. The candidate is expected to primarily but not exclusively deploy qualitative IS methods, with specific
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of Parasitism”, which includes a variety of theoretical, simulation, and experimental projects from different disciplines. The key goals of the project are to elucidate physical mechanisms that govern trypanosome
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this, there are further sub-objectives during the investigation to achieve this goal: Predict thermal warpage effects on a supersonic intake at different flight times, coupled to a numerical model for the downstream
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to understand the properties of electromagnetically driven flows in thin deformable electrically conducting liquid films and layers by means of their nonlinear stability analysis and numerical simulation. It
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specific focus on cost-effectiveness, emission reduction, and social acceptability. The candidate will be involved in various (inter-)national initiatives and engaged with different political decision makers
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platform of analogue hardware accelerators, so-called Ising machines, that efficiently speed up these computationally difficult tasks in a way unlike any current digital computer. These Ising machines are a
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moving monopoles (aeroacoustic sources). Among other factors, such a source model can be parameterized by the vertical wind speed profile at the turbine. The propagation model will rely on numerically
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process