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participation in meetings with partners. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/140233 Requirements Specific Requirements PhD in Mechanical Engineering, with strong
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about the research project is available at: https://saeedsalehi.com/project-hydropower-ai.html As a PhD student, you devote most of your time to doctoral studies and the research projects of which you
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materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the
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with surface process model the candidate will perform a set of numerical models of an orogen testing the impact of the inherited extensional deformation on (i) the sediment routing systems and
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
, high-solidity rotor performance and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral
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and delay-differential equations. Scientific computing and numerical analysis Large-scale dynamical systems High-performance computing Parallel numerical algorithms GPU computing Strong programming
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, (working with and co-supervising two PhD students) will closely collaborate with current Quantitative Computational Imaging (QCI) group at WUT skilled in numerical and experimental aspects of
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working on developing experimental and numerical methods for wind turbine aerodynamics. The particular areas of responsibilities include: High and low-fidelity modelling of wind turbine airfoil and
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, international team working on developing experimental and numerical methods for wind turbine aerodynamics. The particular areas of responsibilities include: Modelling of rotor aerodynamics with both low
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exposures. Model evaluation, validation, and uncertainty analysis (10%) -Design and conduct numerical experiments, sensitivity analyses, and validation studies. -Evaluate model performance, robustness