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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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implementation of a coupled Computational Fluid Dynamics (CFD) and fire dynamics model within the OpenFOAM framework. This model will simulate battery thermal runaway and subsequent fire propagation. The
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Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD). . Candidate who is in the final stages of PhD studies (i.e. submitted
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experience) in applied mathematics, physics or engineering, and strong, up-to-date specialist knowledge in analytical and numerical spray modelling and machine learning. Experience with OpenFOAM or similar CFD
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the research team under the project titled: Occupant Tenability and Time to Flashover in Small-Sized Flats (Numerical Study Phase) Under this job, you will develop a CFD modelling platform to study effects
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recovery, development of lithium-selective membranes, development of flow electrodes, electromembrane processes, CFD simulations, among others. Supporting documents proving the fulfilment of the specified
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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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focus on combustion, detonation or fluid dynamics; (c) research experience in computational fluid dynamics (CFD); (d) experience in experimental and/or numerical methods for studying detonation
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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 completion may be considered. Exceptional candidates
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CFD analyses. The motivation is driven by the desire of the Portuguese leading UAS manufacturer to greatly automatize the winglet design process, within its in-house UAV design framework, based on a