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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards
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well as partners from collaborating Universities and industry. At Surrey, we adopt an integrated approach that combines experimental studies, multi-physics and data-driven modelling, explainable AI, and techno
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1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline. 2. Demonstrated expertise in turbulence modelling and compressible
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to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow
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, generating process, material, and structural data to support model development, validation, and process consolidation. Develop and apply physics-based and data-driven modeling frameworks to describe, predict
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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-specific engineering/mechanics modeling tools into a unified AI-driven digital twin testbed. AI Safety & Privacy Execution: Implement secure-by-design agentic architectures, including sandboxing, tenant