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master’s (or international equivalent) in a relevant science or engineering discipline. We are looking for a motivated candidate with genuine curiosity about the research area and the drive to take a project
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to obtain, undergraduate and preferably a postgraduate qualification in computer science, artificial intelligence, data science, environmental modelling, coastal engineering, geography, or a related
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intelligence, software engineering, geoinformatics, or a strongly quantitative geoscience discipline. Essential Experience of game development using engines such as Unity, evidenced through a portfolio of work
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This 3.5-year PhD project is fully funded by The Department of Mechanical and Aerospace Engineering; students who are eligible to pay tuition fees at the Home rate are eligible to apply
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Description Applications are invited for a fully funded PhD studentship in the School of Electrical and Electronic Engineering at the University of Sheffield, in collaboration with the Defence
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Research Group: Nanocomposites Project Overview We welcome a highly motivated PhD researcher with a background in chemistry, polymer science, materials science, chemical engineering, or a related discipline
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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relevant subject area including; medical sciences, biomedical sciences, biomedical engineering, molecular biology, physiology, biochemistry or related disciplines. Scientific curiosity, strong communication
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be close to completion of a relevant PhD/DPhil, , in cognitive neuroscience, psychology, neuroscience, biomedical engineering or a related discipline, together with relevant research experience. You
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PhD in Computing & Digital Technology. Please complete the Doctoral Project Applicant Form , and include your CV and a covering letter to demonstrate how your skills and experience map to the aims and