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Field
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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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of competing battery chemistries and how they might alleviate or exacerbate the extraction burden from the most impactful minerals. 3. Define scenarios for future (next 10-30 years) production, recycling and
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI
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-performance computing (HPC) facilities and finite element codes. Project findings could have a notable impact on the deployment of green hydrogen infrastructure, as needed to achieve net-zero carbon ambitions
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) under the supervision of Dr. Elina Spyrou . Summary of Project: Power systems are at the core of the transition to net-zero energy systems, and they have to transform in two ways. First, their generation
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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team of researchers. The candidate will benefit from our international network of academic partners and our close relations with the UK nuclear industry. They will also benefit from supervision by
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the social sciences. The NWSSDTP is one of the largest DTPs in the ESRC network. All PGRs benefit from a world-class research environment, exceptional supervision, extensive links with non-HEI partners and
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impacts) in each impact area - from design to end-of-life. Define key figures of merit for each impact category and map their interconnections with other relevant categories. Develop and validate a modular
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From safer surgery to sustainable factories and net-zero supply chains, we increasingly rely on robots to do work that is difficult, repectitive, or chronically understaffed. To be truly useful