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PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Prof Pieter Kok Application Deadline: 15
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predicts adult expertise in Science, Technology, Engineering and Mathematics (STEM) (Wai et al., 2009). Despite the importance of spatial thinking, educational policy in England has little focus on spatial
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candidate will enjoy working on finite-element based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with
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strong numerical, analytical and coding skills with undergraduate and masters degree in Mathematics, Earth System Sciences, Natural Sciences and related subject areas.
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geometryis the area of mathematics where one studies inter-relations between explicit geometric invariants of a Riemannian (or sub-Riemannian) manifold with the spectrum of the Laplace (or Laplace type
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requirements: We are looking for an enthusiastic and highly-motivated graduate with - a first class degree in Mathematics at the Master’s level (or equivalent); - a strong background in combinatorics and
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example of universality, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within
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be informed whether a SUIPRES Scholarship will be offered within your offer letter. PhD: Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely
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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
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, uncertainty quantification (UQ) in fields such as climate modelling, nuclear reactor design, and finance often involves models with thousands of variables, posing significant mathematical challenges. Our aim is