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the energy and physical resource consumption of AI models continues to scale, there is an increasing need for new computational paradigms that draw on the efficiency and parallelism of biological
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direct continuation of that programme. The project will develop hybrid QD–Rb interfaces for frequency conversion and subsequent storage of single photons in warm rubidium vapour. High-quality epitaxial III
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decarbonization of existing maintenance and decommissioning of assets. Programme structure (1+3)* Year 1 (Taught component): All students spend the first year at The University of Manchester undertaking taught MSc
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(wind, solar, geothermal, tidal, hydrogen) and nuclear (fission and fusion), and to support the decarbonization of existing maintenance and decommissioning of assets. Programme structure (1+3)* Year 1
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also researched by the recently commenced multi-million MOSFET (The Maturing Optimised Solutions for Aerospace Technology) research programme lead by RR in collaboration with UoM and an electrical
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programme as part of BioProcess, the Biocatalysis and Protein Engineering Centre for Sustainable Synthesis (bioprocess-idla.ac.uk), which has strong partnerships with the chemical industry. They will thus
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master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Demonstrated excellence in fluid mechanics, machine learning, or both. Experience in programming
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-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus
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Sustainability (RAPTOR). The successful candidate will be part of a cohort of PhD students across four universities (Manchester, Liverpool, Surrey, Suffolk) working in a national programme with 18 industrial
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programme with 18 industrial partners. During the first months of this PhD, training will be provided UK experts in radiation protection, environmental assessment and radioactive waste management, nuclear