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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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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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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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-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
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of problems in science and industry related to electromagnetism, heat transfer, fluid dynamics and their coupling. CANDIDATES PROFILE: PhD (doctorate) MERITS AND REQUIREMENTS TO BE ASSESED: Training and general
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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computing, or computational fluid dynamics. Programming experience, preferably in Python, C++, and/or MATLAB. Ability to work both independently and collaboratively. Excellent analytical and problem-solving
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. The project combines advanced computational mechanics, nonlinear finite element analysis and fluid–structure interaction to address critical challenges in civil protection and societal resilience. About the