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This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero Centre (RAINZ) which is a partnership between three of the UKs leading
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: The occurrence and distribution of species within and around solar parks, identifying key “winners and losers” in terms of biodiversity. How species interactions, including plant-pollinator networks
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opportunities for building important research skills and networks among your peers and research academics Entry requirements: Applicants should have, or expect to achieve, a first-class or upper-second-class
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Primary Supervisor – Dr Nicola Hancock This PhD programme is built around James Lind Alliance (JLA) and UK National Stroke Programme priorities for rehabilitation after stroke. Specifically, it
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can be used to produce high value molecules from lignin rich wastewaters that arise from the paper industry. Motivation This project will form part of a wider network of European partners spread across
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networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making
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should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and scientific computation. The student will gain invaluable experience
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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). The FIBE3 CDT aims to lead a transformation to net zero infrastructure through industry partner co-creation and co-delivery of an inspirational doctoral training programme for cohorts of emerging talents from
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and training activities that will contribute to developing professional networks. Understanding the growth of surface oxide films on/in multi-component metallic substrates in electrolyte media is of