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innovative tools combining high-fidelity simulations based on a Lattice Boltzmann Method (LBM) CFD code with advanced data assimilation techniques, notably the Ensemble Kalman Filter (EnKF). By integrating
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studentships are available. You will develop expertise in cutting-edge laser diagnostics or direct numerical simulation (CFD) for turbulence research. You will become expert in turbulent flow physics and will
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duties and responsibilities Carry out research in modelling and simulation of particulate processes using appropriate software packages for techniques such as DEM, CFD, FEA and Machine Learning. Develop
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on materials. Background (preferential): Materials science Additive manufacturing Metallic alloys Material characterization/Materials testing FEM/CFD simulations Additional background that will be valued in
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental
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developing discrete element models (DEM) or hybrid models, such as DEM-CFD or DEM-SPH, is essential. For this position, a doctoral degree in a relevant discipline is required, although candidates nearing
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) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM frameworks as appropriate for specific tasks. Work duties The main duties involved in a post-doctoral position is
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Doctoral (PhD) Candidate to join the new MSCA Doctoral Network FairCFD (https://www.imft.fr/faircfd/project-presentation/ ). The candidate will enrol for a PhD in Chemical Engineering at the University
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-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a machine. We develop