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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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the project Aeroacoustics and hydrodynamics of chimney-type musical instruments, within the Computational Fluid Mechanics line of research. Where to apply Website https://oficinavirtual.uca.es
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. We are expanding our team with ambitious, driven, creative problem solvers and doers who are excited about tackling a challenge and delivering a new product to market. As a CFD Engineer, you will
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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, optimising these and various process conditions to enhance the overall performance of the gas turbine employing specific indicators. Used with a complementary CFD modelling approach, the research will define
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develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running
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of gas emissions. This will involve leveraging advanced gas transport models, including advection-diffusion equations, computational fluid dynamics (CFD), and Navier-Stokes equations, to provide deeper
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research methodology is coupled CFD (Computational Fluid Dynamics) and FEM (Finite Element Method) modelling and simulations. This is the only methodology allowing simulations of fluid-structure interaction
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CFD technologies. As the PhD researcher on this project, you will investigate and develop the numerical and algorithmic components needed to make this hybrid high order to low order strategy practical
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant