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Research Engineer in Quantum Computing for Computational Fluid Dynamics for the Division of Computational Science and Technology. You will contribute to research on new computational methods for fluid
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, employed under a fixed-term contract, for a full-time work, in the scientific area of Technical Sciences, scientific field of Basic technical sciences, Department of Fluid Mechanics and Computational
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fluid simulation and molecular dynamics simulation while strengthening next-generation simulation science that spans both fields, in response to advances in AI, machine learning, and high-performance
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fluid-structure interactions for energy systems. About KAUST and the PSE Division KAUST is an international graduate research university dedicated to advancing science and technology through
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include physics-informed machine learning, digital twins for turbines and reactors, AI-driven design of energy hardware, predictive maintenance of energy infrastructure, and data-driven modeling of fluid
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robotics, mechatronics, mechanical system design, programmable logic controllers (PLCs), dynamics, intelligent thermal-fluid systems, etc. Strong written and verbal communication skills are required
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, and hardware platforms when we apply them to the CFD problem of simulating the sloshing motion of a fluid within a moving tank. The purpose of these experiments will be to identify the hardware/software
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when we apply them to the CFD problem of simulating the sloshing motion of a fluid within a moving tank. The purpose of these experiments will be to identify the hardware/software interactions
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-disciplinary environment? Information Many of the most challenging problems in science and engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows
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molecular dynamics, computational fluid dynamics, and quantum chemistry for next-generation hardware. You will join a project team of HPC software scientists at KCSC collaborating closely with and driving