This PhD project at the University of Sheffield focuses on developing novel tools for the analysis of local atomic order in materials using advanced total scattering techniques, including both X-ray and neutron scattering. Total scattering provides unique insights into the atomic-scale structure of materials, which is crucial for understanding and optimizing properties in systems such as atomic energy materials, battery components, and structural alloys. Short-range order, or the tendency of atoms to prefer or avoid certain neighbors, can significantly influence material properties like radiation damage tolerance, electrical resistivity, and mechanical strength.

Despite its importance, total scattering is underutilized in metallurgical and materials science research due to the complexity of data processing and analysis. This project aims to address these challenges by creating integrated analytical tools and workflows that streamline the use of multiple software suites, facilitate information transfer, and improve the quality of analysis. The research will involve coding, data curation, practical experiments at leading UK national facilities (ISIS Neutron and Muon Source, Diamond Light Source), and method development. Machine learning will be employed to enhance the analytical process and unlock new areas of materials exploration.

The successful candidate will join the MOSAIC group and work closely with collaborators at national research facilities and the STFC Scientific Computing team. As part of the Royce Institute Materials 4.0 Centre for Doctoral Training (CDT), the student will benefit from a structured 4-year doctoral programme that includes technical and professional skills training, and will be part of a national cohort advancing the digital and data revolutions in materials science.

Applicants should have a background in Material Science, Chemistry, Physics, or Computer Science, with experience in coding, data analysis, or laboratory work considered advantageous. The studentship is fully funded, covering tuition fees and a stipend. International applicants may need to provide proof of English language proficiency. Applications are accepted year-round, and the CDT is committed to equality, diversity, and inclusion, encouraging applications from underrepresented groups.

To apply, candidates should complete the local application form via the University of Sheffield postgraduate portal, select 'Doctoral Training Course' and 'Developing National Capability for Materials 4.0', and submit the standard questionnaire to the provided email address. For technical queries, contact Dr Lewis Owen. For general or application-related enquiries, contact the relevant emails listed below.

• Application portal: University of Sheffield Postgraduate Application
• Project details: FindAPhD Project Page
• General enquiries: [email protected]
• Application queries: [email protected]
• Technical queries: [email protected]