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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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fields, and risk damaging the part during fabrication. Finite element analysis (FEA) models, while capable of delivering detailed spatiotemporal distributions of thermal variables, suffer from limited
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high temperature corrosion rate involving mathematical models validated through simulation, experiments and analysis. Gas Turbines are used as a multipurpose power source in various applications like aviation, power
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image correlation is an effective tool to characterize material properties. The analysis of the images can provide a fair assessment about the changes in material behaviour under different operational
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laboratory analysis and hydraulic modelling. Key investigations will focus on hydraulic performance, nutrient removal mechanisms, downstream water quality impacts, and biodiversity gains, alongside testing how
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and sustainability. As a result, water utilities rely on intensive sampling, testing and expensive analysis, often with long turnaround times, to characterise PFAS behaviour in GAC beds. This project
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energy systems creates a uniquely integrative and professionally enriching doctoral pathway. The student will develop strong capabilities in thermal systems analysis, mass transfer modelling, computational
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, compressible flow, aerodynamic analysis and optimisation would be an advantage. Broader experience of engineering computational modelling and optimisation methods would also be and advantage. As part of
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge