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offers a fully funded, four-year PhD studentship which will start in October 2025 on one of the following themes: Theme 1: AI-Driven Solar Forecasting for Smarter PV Integration Theme 2: Next-Generation
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-controlled structural colours that respond to stimuli. You will develop the materials, methods, and designs necessary to 3D-print the next generation of structural colour devices, integrating optically- and
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Background Network Rail operates several telecom networks which provide connectivity for various signalling systems. Therefore, the performance of telecoms assets is integral to how the railway system operates
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energy and aerospace solutions. In particular, surface-mounted permanent magnet electrical machines are pushing performance boundaries. A major challenge is the structural integrity of the carbon-fibre
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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in organic/polymer synthesis and/or material analysis will also be beneficial. EU
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boundaries. As vehicle architectures evolve to integrate new transmissions, fuels, and energy storage solutions, this creates a timely opportunity to rethink the role of the electric motor within
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building typologies. This research aims to transform Pulse testing through AI integration—specifically leveraging descriptive, predictive, and generative modelling techniques—to enhance test accuracy
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-edge advancements in automated drug discovery through the integration of high data-density reaction/bioanalysis techniques, organic synthesis, laboratory automation & robotics and machine learning
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sourcing and manufacturing to end-of-life recycling. The research will explore rare-earth-free topologies, including wound-field and reluctance-based architectures. The focus will be on integrating scalable
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integrated Masters, a BSc + MSc or a BSc with substantial research experience will be highly advantageous. Experience in computer programming will be essential. The studentship is open to home students only