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Reference: RD-PHD-01-DM-MH-25 Project Title: Optimum strategies for UK beef producers to achieve net zero Primary supervisor: Daniel May Co supervisors: Karl Behrendt and Jude Capper Expected Start date and
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their problem-solving, data analysis, and critical thinking abilities, as they work on real-world aerodynamic challenges. In addition, the student will refine their communication skills by presenting research
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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propulsion systems. You’ll join the wider CDT multidisciplinary cohort that values equity, diversity, and inclusion, while gaining expertise in aero-engine aerodynamics, analysis of advanced experimental data
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experience. Proven technical competence in experimental science and data analysis/modelling. Strong practical understanding in at least one of the following: medical device manufacturing, sustainable materials
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exascale computing, including development of tools for analysis of large data sets. For more information about recent projects see www.southampton.ac.uk/people/5wz5fh/professor-neil-sandham We
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must meet the minimum English language requirements. Further details are available on the International website Funding information: Studentship type – 100% external partner funded. The studentship is
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
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and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early for the best opportunity