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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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(CFD) modeling, preferable in openFOAM Experience of reactive flows Knowledge of battery modeling Knowledge of thermal runaway Teaching experience Consideration will also be given to how the applicant’s
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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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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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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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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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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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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of advanced CFD models in OpenFOAM for the simulation of next
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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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