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PhD-studentship in Applied Mathematics / Quantitative Ecology: Wind‑Assisted Dispersal of Insect Tree Pests: An Interdisciplinary Modelling and Ecological Study Award Summary 100% home fees covered
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This interdisciplinary PhD project will bring together mathematics and ecology to assess the risk of invasive tree pests being transported into Great Britain by wind. While biosecurity measures largely focus on trade
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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a lack of a coherent and mathematically rigorous methodology for how health, environmental and population exposure and vulnerability data can be combined to optimally issue warnings in order to
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of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. Why apply for this PhD? Work on the next-generation
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partitions of unity that are unavailable in the analytic setting. We expect to apply these techniques to geometry, quantum mechanics, and other fields in mathematical physics. The project will be supervised by
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electronics) to process information efficiently. You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems
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generic compression tools exist, they often fail to fully exploit the specific redundancies found in 3D tomographic data. You will exploit your signal processing knowledge with statistical mathematical
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Knowledge, Skills and Behaviours Demonstrable experience in quantitative or computational modelling Strong programming skills (e.g. R, MatLab, or similar) Ability to develop and analyse mathematical
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mathematically in their full multiscale complexity, many complex systems leave warning signals in their data - subtle mathematical fingerprints that appear before a rapid transition unfolds. But reading those