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conducted using high-fidelity CFD model such as Large-Eddy Simulation (LES). The work will include simulation of shallow boundary layer flows such as atmospheric flows with differing thermal stability and of
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collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal
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to capture experimentally due to the small scales and opacity of the matrix. Consequently, computational fluid dynamics (CFD) is the best approach for improving these burners. This PhD aims to investigate NH3
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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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Offer Description Completion of doctoral thesis related to: - Modelling of the geometry for the simulation of the detectors - Meshing of the geometry - CFD simulation - Analysis of the results
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work involves extending CatalyticFOAM, a reactive CFD framework, for
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) processes within the EIC PATHFINDER project PREDICT by unifying detailed physical models - light transport, surface reaction kinetics, and multiphase reactive flows - into a single CFD framework. The goal is
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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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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coatings obtained from magnetron sputtering techniques on the opaque wall for the indirect heating mode. Inscriptions here: https://aplicaciones.uc3m.es/atenea/publico/1/listarConvocatorias Ref nº 2026/020