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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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, engineering, mathematics or related areas. The MSc degree should have been awarded by the start of the PhD project. A solid background in fluid dynamics, as evidenced by academic courses as well as research
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we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together
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part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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spoken and written English. Fundamental knowledge of fluid mechanics, viscous fluid flows. Strong mathematical and analytical skills; knowledge of physics and mechanical design is an asset. For projects 1
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requirements: MSc degree in mechanical or aerospace engineering, applied physics or applied mathematics. Background and affinity in fluid mechanics (e.g. MSc thesis on a fluids-related topic). Good track record
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project. Once you have mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread
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global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together
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Learning, Artificial Intelligence, or a related field. Demonstrate a strong mathematical foundation in optimization, statistical learning, and probability. Possess a thorough understanding of machine