Early-stage Failure Prediction in Fusion Materials PhD Scholarship at University of Sheffield 2025

Early-stage Failure Prediction in Fusion Materials PhD Scholarship

• The Early-stage Failure Prediction in Fusion Materials PhD project aims to apply machine learning and pattern recognition techniques to large databases of experimental data.
• This project focuses on identifying early-stage deformation patterns in fusion reactor materials, which are critical to preventing material failure under extreme operational conditions.

Eligibility

• This fully funded PhD opportunity is open to UK students with a background in Materials Science, Physics, Engineering, or related fields.
• Candidates should have strong skills in machine learning, data analysis, and a keen interest in nuclear fusion technology.

Application Process

• To apply for the Early-stage Failure Prediction in Fusion Materials PhD, prospective students must submit their applications through the University of Sheffield Postgraduate Application Portal by 16 May 2025.
• Applicants should select the Doctoral Training Course under Developing National Capability for Materials 4.0.

Benefits/Value

• The EPSRC CDT in Materials 4.0 fully funds this project, offering a tax-free stipend of at least £19,237, coverage for tuition fees, and a research training support grant.
• The project offers access to cutting-edge research in fusion reactor materials, interdisciplinary collaboration, and the chance to present at national and international conferences.