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No of positions: 1 This 3.5 year PhD project is fully funded at UK rates; the successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. UK students and those with settled status are...
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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, mechanical or chemical stability. The complex polymer formulations, multi-material components, and diverse use-case scenarios for such plastics create barriers that must be understood at the end of the product
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the creation of chemical systems able to perform complex synthetic tasks. You will be trained in synthetic organic, polymer, and supramolecular chemistry. We strongly recommend that you contact the supervisor
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so, you will play a key role in advancing hydrogen turbine technology and supporting the global transition toward green energy and net-zero emissions. Why this project is unique A major highlight of
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concerns, while non-edible residues such as wood chips or fruit peels compete with animal feed and bioenergy uses. In addition, the biomass supply chain is complex and multi-actor, involving farms, pre
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transition, with an increasing need to deploy large-scale offshore wind turbines in harsh operational environments. As these systems grow in complexity and power rating, ensuring the reliability of generator
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biocompatibility testing methods often overlook the biological complexity of aged soft tissue. Changes in extracellular matrix composition, immune responsiveness, and cellular senescence can significantly alter how
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension