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in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the
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analyses, mathematical modelling, or data analysis. But whatever the research approach, the goal would be to influence UK policy that increases protection of the UK population from current or future emerging
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fall apart. How confinement works in QCD, and how temperature affects it is not understood mathematically. Unsurprisingly, it is the subject of intense research, and a $1M Millennium Prize. There
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are looking for highly motivated candidates with: A strong academic background in computer science, AI/ML, bioinformatics, or related fields such as mathematics and statistics Experience or strong interest in
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science; hydrology; climate science; applied physics; applied mathematics. They will use remote sensing techniques and physical modelling to assess climate and glacier evolution in these high research
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to velocity profiles, which will be informative for the design of offshore renewables. Further mathematical analysis of these nonlinear terms will shed light on the question: what generates these extreme waves
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will also use finite volume-based numerical simulations and (if desired by the student) mathematical modelling. You will work alongside other researchers within the Fluid Dynamics Research Centre
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clear aptitude for research. You will have a Masters in a relevant discipline and will definitely have a 1st or 2:1 Bachelors degree (or equivalent). You will be able to demonstrate excellent mathematical
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Sciences, Environmental Sciences, Earth Sciences, Material Sciences, Biochemistry. Must have analytical chemistry skills and good numeracy; experience of mathematical coding would be desirable. Start date 1
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Supervisor details: Lead Supervisor Kieran Hunt, k.m.r.hunt@reading.ac.uk , Department of Meteorology Co-supervisors Hannah Bloomfield, Hannah.Bloomfield@newcastle.ac.uk , University of Newcastle Project description: Reliable, high-resolution electricity demand data are scarce across the global...