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reproducible relationship exists. The student will systematically explore how different experimental configurations influence the relationship between electrical measurements and fluid volume, with the aim
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Fully Funded PhD Studentship (UK Students Only) Real-Time Sub-THz Electromagnetic Sensing and Machine Learning for Dynamic Particulate Characterization University of Birmingham with support from
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Sciences with this industrial PhD studentship in Physics – fully funded by the University of Exeter and Leonardo UK. We’re looking for a student who has a passion for science, with ambition to learn and
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note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately for admission through the University's Postgraduate application portal
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and group learning exercises throughout the PhD programme. The duration of the PhD is 4 years, and the start date is 1st October 2026. The PhD student will be physically located in Manchester within
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a good MSc or a with a PhD awarded or close to completion (or equivalent experience) in UAV data processing, GIS or related disciplines, and who is motivated to develop deployable and repeatable UAV
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Primary Supervisor: Dr. Christopher Birkbeck This PhD project, based at our Norwich campus, offers a unique opportunity to work at the confluence of number theory, representation theory, and formal
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nuclear facilities make wireless communications difficult. Expected Outcomes The PhD aims to deliver: Novel technologies enabling safe human-robot collaboration New safety and assurance methodologies
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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2027 Additional Funding Information This project is offered on a self-funded basis. It is open to applicants who are self-funded or who are in the process of securing external funding. A bench fee is