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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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et al. 2022; Mainstone et al. 2018; Datry et al. 2016). Streams are often flagged as intermittent based on downstream flows, but where or how they dry is not known. Capturing the evolution of river
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comprehensive framework for modelling gravitational wave signals from precessing eccentric compact binaries across the full detector landscape, from ground-based instruments such as LIGO and Virgo through
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anthropogenic activities, as well as limitations of existing models in effectively integrating human data to quantify human influence. Foundation AI models offer significant potential due to their strength in
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. Throughout the PhD, the candidate’s career aspirations will be well-supported. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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Project Description: This EPSRC-funded PhD project will investigate how next-generation electric and autonomous vehicles can operate as symbiotic agents within the urban ecosystem—intelligently
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interface. This PhD project aims to develop a flexible electrochemical sensing interface capable of capturing local physicochemical changes in real time. The work will explore biocompatible, deformable
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unsuitable, while the utility and performance of others remains an open question. The aim of the PhD is to derive synchronisation techniques suitable for deployment into a maritime radar sensor network
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early risk identification. This PhD project aims to design and develop personalised 3D-printed insoles with enhanced offloading performance and integrated sensing capability. The work will explore novel
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processing techniques that take full advantage of these capabilities, in order to translate them into optimal radar performance. The purpose of the PhD is to lay down theoretical and practical foundations