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complex materials, data-driven methods, and computational fluid dynamics. Supervision: Shervin Bagheri is proposed to supervise the doctoral student. Decisions are made on admission Admission
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Hall, all of which serve the entire UNC community. Position Summary The Postdoc Research Associate ( PRDA ) will work in the Klotsa Lab at UNC Chapel Hill in the field of computational fluid dynamics
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to tackle complex fluid and plasma modeling challenges using modern mathematical and computational techniques. We seek candidates with demonstrated strength in artificial intelligence (AI) and
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computing, or a related field. A foundation in areas such as solid mechanics, fluid mechanics, dynamics, or numerical modeling is particularly relevant. You have experience implementing scientific code
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integrated cooling solutions, direct-liquid cooling, and two-phase cooling for very high heat fluxes. You will develop and use Computational Fluid Dynamics models in combination with analytical and
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 15 days ago
multiphase flow physics, numerical methods, and computational fluid dynamics (CFD), ideally complemented by application in your MSc thesis, research projects, or internships. Have excellent
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Systems and Integrability, Finance and Risk Analysis, Nonparametric Statistics, Fluid Dynamics and Ocean and Atmospheric Sciences, Optimisation, Stochastic Analysis, Stochastic Modelling, and Fractional
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 9 days ago
available 1 Company/Institute Centre for Industrial Diagnostics and Fluid Dynamics Country Spain State/Province Barcelona City Barcelona Postal Code 08028 Street Av. Diagonal, 647 Geofield Contact
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, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline. Experience of applying machine learning
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Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning, AI, Computational Fluid Dynamics, Hydrodynamics, Optimisation, or a related discipline