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Cameron Pleydell-Pearce

Professor at Research, Engagement & Innovation Services

Swansea University

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United Kingdom

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Mechanical Engineering

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Computational Materials

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Environmental Science

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Physics

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Machine Learning

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Positions1

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Nicholas Lavery

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Swansea University

PhD Studentship in Sustainable Fusion Steels: Whole Lifecycle Design of Tokamak Vacuum Vessel Steels

This fully funded PhD studentship at Swansea University focuses on the sustainable design of fusion steels for tokamak vacuum vessels, aiming to support the commercialisation of fusion energy and contribute to global net-zero targets. The project is part of the Fusion CDT and IGNITE initiatives, offering a unique opportunity to work at the intersection of materials science, engineering, and energy technologies. During the first six months, students will attend taught modules at all six Fusion CDT partner universities, with travel costs covered. The remainder of the research will be based at Swansea University's Bay Campus. The project investigates how recycled steel can be used in the manufacture of vacuum vessel components, balancing the need to minimise radioactive waste and maintain safety standards. Unlike other reactor materials, vacuum vessel steels experience lower neutron exposure, allowing greater tolerance for elements like nickel and molybdenum, which are common in recycled scrap but typically restricted due to their radioactive properties. Research activities will include computational materials design and engineering, utilising modelling techniques and rapid alloy prototyping to discover and create novel steel prototypes. The project offers a blend of computer modelling and hands-on laboratory work, with the potential for significant real-world impact in sustainable energy and materials engineering. Essential skills for applicants include programming proficiency (Python or MATLAB), strong computational modelling and data analysis abilities, and knowledge of alloys and their properties (tensile, fatigue, toughness, corrosion). Desirable skills include experience with machine learning libraries (Scikit-learn, TensorFlow, MATLAB equivalents), CALPHAD (ThermoCalc), and practical lab experience (metallographic preparation, optical and SEM microscopy, XRD, mechanical testing). Applicants must hold an undergraduate degree at 2.1 level (or non-UK equivalent) in Engineering or a relevant science discipline. English language requirements are IELTS 6.5 overall (minimum 5.5 in each component) or Swansea University recognised equivalent. Some applicants may need ATAS clearance, but this is not required for the scholarship application process. The scholarship covers full tuition fees, an annual stipend at the UKRI rate (£21,805 for 2026/27), and up to £1,000 per year for research expenses, including laboratory and travel/subsistence costs. The project start date is October 2026, and the application deadline is May 25, 2026. For further information, visit the Fusion CDT project page or contact [email protected]. Apply online via the FindAPhD link provided.

5 days ago