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, this role will contribute to studies focused on underwater vehicle manoeuvring and resistance. In this position, you will undertake advanced Computational Fluid Dynamics (CFD) simulations, primarily based
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LPMS plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert
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behavior and spread; wildland-urban interface fire; combustion and heat transfer in wildland and urban fuels; computational fluid dynamics and multiphysics modeling; high-performance scientific computing
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Status Full-time Hours Per Week 39.10 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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Requirements Research FieldEngineeringEducation LevelPhD or equivalent Skills/Qualifications Technical Background: PhD in aeroacoustics for wind turbines. Required knowledge: Computational Fluid Dynamics
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fluid dynamics, hypersonics, solid mechanics and materials, and aerospace systems and GNC. The department is poised for growth in both its academic programs and research areas and seeks to expand its
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or integrated prototype systems. Electrode fabrication, membrane electrode assembly preparation, or integration of gas diffusion electrodes into working devices. Computational fluid dynamics or multiphysics
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data assimilation systems on Unix/Linux and high-performance computing platforms. Evaluate model and assimilation performance using statistical and dynamical diagnostics and verification against
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/week) Care Coordinator to become an integral member of our dynamic multidisciplinary team. Responsibilities include: provision of face-to-face care management for students in need of longer term or more
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
for model noise can fundamentally disrupt the corresponding fluid dynamics models, leading to unrealistic properties. Rigorously justified methodologies for deriving stochastic dynamics models have been