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, sectors, and uses of water and energy. Teaching Profile: The position is part of the fluid mechanics teaching program, which is included throughout the engineering curriculum of many ENSE3 courses: first
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Description PhD position at IFP Energies nouvelles (IFPEN) in Chemical / Mechanical Engineering of multiphase fluids Scale-up of bioreactors through characterization of gas phase hydrodynamics and Euler-Euler
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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activities, and supporting proposal writing and grantsmanship. The successful candidate will have a demonstrated background in experimental mechanics, fluid mechanics, fluid-structure interactions, and solid
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to clarify the mechanisms governing flow organisation, regime transitions, and turbulent mixing. The experimental study will rely on complementary facilities. At LMFL, the candidate will use a large bubble
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Gif sur Yvette, le de France | France | 2 days ago
master's student (general engineering, or master's in fluid mechanics, applied physics, or chemical engineering). Key skills: ✓ Soft matter ✓ Fluid mechanics ✓ Physical intuition, interest in design and
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of industrial processes. The Department of Computational Fluid Dynamics is seeking a PhD Student (f/m/d) to contribute to “Experimental analysis and simulation of flow-induced vibration in gas-liquid two-phase
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of analogous instability mechanisms. More recently, Bucci et al. (2018) investigated subcritical transition around a cylindrical roughness element by combining experimental measurements with numerical
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. The Institute of Fluid Dynamics conducts both fundamental and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics to enhance the sustainability, the energy efficiency, and the safety
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foundation in fluid mechanics and heat transfer Experience with numerical methods (CFD or FVM) Programming skills (e.g. Python, MATLAB, C++, Fortran) Interest in machine learning and data-driven modeling