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postdoctoral position lies at the interface of fluid mechanics, phase-change physics, and industrial application. It is part of ARCNL’s Source Department and the EUV Plasma Processes group. We investigate
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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Large Eddy Simulations, turbulence research, and the Julia programming language is an advantage but not required. Interest in the intersection of solid/fluid mechanics. Ability to work independently
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department (GRS) working closely with PhD researchers, postdocs, and professors in an open and collaborative environment, where you will receive full support and training to grow in your career. This project
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Simulations, turbulence research, and the Julia programming language is an advantage but not required. Interest in the intersection of solid/fluid mechanics. Ability to work independently. Excellent command
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of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic
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. Job description The Aerodynamics group is composed of 12 scientific staff and hosts the Chairs of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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succesful candidate has the following qualifications: An PhD degree in either applied physics, chemical engineering, mechanical engineering or a similar field Profound knowledge of thermodynamics and/or fluid
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes