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High-Performance Laser Powder Bed Fusion of Polymer Parts Using Quantum Cascade Laser Arrays School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Kristian Groom
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shear flows, aerodynamics. Numerical analysis, in particular Computational Fluid Dynamics. Excellent programming skills in C, Fortran, or any other high-level language. Desirable: final-year project on a
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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informatics, and energy systems, and offers the opportunity to directly contribute to the operation and design of next generation fusion facilities. This EngD project is set within the Fusion Engineering CDT
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systems such power factor correctors and high voltage inverters to improve X-ray generator performance. You will lead this project, liaising with and assisting SLXR engineers in product development and in
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of sustainable hydrogen production. The successful student will have access to the University of Sheffield laboratories and to the High Performance Computing (HPC) clusters (ShARC and Bessemer). Our group has
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Fanran Meng, Prof A Ryan Application Deadline: Applications accepted all year round Details Life cycle assessment is increasingly used to assess environmental performance, identify “hot spots” in
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Bio-inspired micro-electromechanical sensors (MEMS) to measure high-order acoustic pressure derivatives for condition assessment of buried water supply pipes School of Electrical and Electronic
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supplemented by Continuing Professional Development (CPD), which is embedded throughout your 4-year research scholarship. In addition, the successful candidate will also develop skills in: High performance
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to support smart manufacturing, operation and monitoring of industrial processes and equipment. Digital twins (DT) are multiphysics, multiscale, high-fidelity simulation that emulate in real-time the state