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guidelines for the efficient and automated design and optimization of small-scale turbomachinery. Required competences Strong background in model order reduction techniques, surrogate modeling
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Participate in education and supervise student projects More specifically, within this project, you will: Develop and apply multi-objective topology optimization to identify and characterize the
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, turbomachinery aerodynamics, aeromechanical design principles, experience with CFD & FEA. Materials science, particularly properties of ceramics and conventional metals/alloys, manufacturing processes
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work on the design, analysis, and implementation of innovative models for decision-making, economics, and operations. Research topics may include optimization, decision-making under uncertainty, market