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Field
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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materials will be designed for two game-changing applications: 1. High-performance electrical insulation for next-generation electric machines and power electronics used in transport and energy systems. 2
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transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary face. The
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— positioning you for careers in academia, research, or high-value industries. Join us to explore how microstructure shapes performance and help drive the future of sustainable turbine technologies. Applicants
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-changing applications: High-performance electrical insulation for next-generation electric machines and power electronics used in transport and energy systems. Hydrogen permeation barrier coatings
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times. Lithium-ion batteries due to their high energy density, long lifetime, fast charging, wide operating temperature, and light weight, are the most common choice for the energy storage system (ESS