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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...
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
Mathematical Modelling of kinetic and thermodynamic performance of material to optimize the production process. The research has significant real world impact. It is expected to deliver a step change in
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PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently
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equivalent 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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2:1 undergraduate honours degree in a relevant subject and meet our English language requirements. They should have a strong background in physics and/or mathematics (e.g., PDE, optimization) and/or
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equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree
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diverse Formal Methods for maximizing software reliability while minimizing cost. Formal Methods (FMs) are mathematical techniques used to verify the correctness of software systems. While many powerful FMs
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variability to address specific research questions. Student profile: Essential skills: The student is expected to have a background in one or more of the following areas: environmental science/ mathematics
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, Financial Mathematics or Quantitative Finance will be welcome. We are looking for a candidate who can develop new approaches to identifying patterns in Big Data. For any subject-specific queries, please