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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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regulations, developing low-emission, carbon-free burners has become crucial for industry and a technical challenge for researchers. Ammonia (NH3) and hydrogen (H2) are the main carbon-free fuels under
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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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duties and responsibilities Carry out research in modelling and simulation of particulate processes using appropriate software packages for techniques such as DEM, CFD, FEA and Machine Learning. Develop
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studentships are available. You will develop expertise in cutting-edge laser diagnostics or direct numerical simulation (CFD) for turbulence research. You will become expert in turbulent flow physics and will
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simulation of fluid-structure interaction (FSI) with focus on the fluid mechanics. We couple computational fluid dynamics (CFD) to a structural solver and/or a controller for the detailed simulation of a
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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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? 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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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