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), strong quantitative and computational skills, and experience working directly with a major national infrastructure operator will significantly enhance the student’s career prospects. Graduates from similar
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A PhD (or equivalent research work experience) in a quantitative discipline related to the research programme e.g. health economics, labour economics, simulation or systems modelling, data science on
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closely with water utilities. The outcomes will support the development of robust decision-support tools to safeguard drinking water quality and safety under a changing climate. The research programme to be
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An Information Theoretic Approach to the Smart Grid School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Inaki Esnaola Application Deadline: Applications accepted all year round Details The way the smart grid is envisioned in the near future is as a constantly...
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of the most significant challenges facing the UK’s programme of remediation and restoration of the Sellafield site, expected to be complete in the next century. The PuMaS hub will support ~20 PhD students along
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experience Essential Application/interview Highly computer literate with excellent communication skills (both written and verbal) and adaptability in your approach working with colleagues at all levels
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(NIHR) Public Health Research (PHR) Programme. The post-holder will set up and manage administrative systems and ensure project timelines are adhered to in a professional and efficient manner. The role
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline: Applications accepted all year round Details This PhD project focuses on using topological data...
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progress through their programme journeys, from welcome and transition to graduation. You will set the annual schedule of key activities and lead developments to improve the student experience and you will
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these gaps by combining quantitative, computational, and implementation-focused approaches. The project has two interconnected strands. The first strand focuses on evaluating the feasibility and acceptability