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Funding Source: EPSRC DTP Supervisors: Professor Tony McNally Supporting Company: Roxel Ltd Start date:1st October 2025 Project Overview: The aim of this PhD is to investigate RAM formulation
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laboratory at Swansea University. This demonstrator will closely replicate the industrial structure to ensure the relevance of the research undertaken in this PhD study. A major aspect of the work is the
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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methods to improve systems, and ML research develops such methods. Major gains are made when the development of ML and systems are symbiotic and co-optimized. This is relevant across a broad spectrum of
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function to minimise disease development will be key to developing sustainable management strategies for take-all. In this PhD project, you will: develop molecular lab and bioinformatics skills to analyse
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, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co
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including number theory, dynamical systems, probability theory, equidistribution theory and optimal transport. The aim of the PhD project is to develop a flexible framework based on harmonic analysis to study
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements
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PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr
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effective energy management system (EMS) is then necessary to monitor the states and optimize the use of HESS, consequently enhancing the eVTOL’s desired performance. The state-of-the-art review indicates