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Field
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in computational fluid dynamics Experience in computer programming, in particular Python and Matlab, and in CAD and CAE tools Ability to work independently and also to enjoy collaborating with others
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and the spatial distribution of potential reservoirs. This PostDoc position is part of the PEPR « sous-sol, bien commun » project IDYLLE (Impact of Lithosphere Dynamics and Basin Evolution
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18.09.2026, Academic staff The Thermo-Fluid Dynamics group is looking for a doctoral student in hydrogen combustion, starting in early 2027. Please see the details below. The research at the Thermo
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of the following areas is an asset: fluid dynamics, droplet impact, multiphase flow, heat transfer, phase change, high-speed imaging, vacuum systems, optical diagnostics, or surface science. Experience
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR
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simulation tools (molecular dynamics, dissipative particle dynamics etc.) to understand the dynamic properties of ionic liquids. The postdoc will also perform all-atom MD simulations to extract key chemical
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fundamental problems arising in mathematical fluid dynamics and turbulence, including regularity properties of solutions to the Navier-Stokes, Euler, and related equations, dissipation anomaly, Onsager’s
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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Position Title: Postdoc Research Associate in Experimental Thermal/Fluids Sciences Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department