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excellent mathematical/statistical skills, with excellent reporting and communication skills. It is also expected that you will be self-motivated, a problem-solver, an independent and a team player. Funding
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involving mathematical models validated through simulation, experiments, and analysis. CSP technologies use a mirror configuration that concentrates the sun’s solar energy onto a receiver, which converts it
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diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and
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, technology, engineering, the arts, and mathematics) or an equivalent international qualification or closely aligned discipline. Ideally, applicants should have suitable organisational experience. All cases
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S.T.E.A.M field (science, technology, engineering, the arts, and mathematics) or an equivalent international qualification or closely aligned discipline. Ideally, applicants should have suitable
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Air quality is a major public health issue worldwide.Two origins can be identified for pollutant particles that emanated from road transport vehicles.The dynamics of exhaust and non-exhaust pollutants released into the atmosphere in the wake of passenger cars are still poorly understood. An...
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estimation of useful life. In this research, a theory will be postulated for the combined mode of gear failures. The theory will be supported by the basic gear failure mathematics and preliminary validation
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/experience, consistent with that expected of a UK honours degree graduate: Dynamic systems – including Laplace transforms and state-space models. Mathematics of basic circuit modelling. Modelling/programming
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as computer science, mathematics, or engineering. The candidate should be self-motivated and have excellent analytical, programming, reporting and communication skills. Funding Self-funded Cranfield
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of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve