Rapid Alloy Discovery and Characterisation of Additively Manufactured Type 316 Stainless Steel and Its Advanced Variants

This fully funded PhD project at the University of Southampton offers an exciting opportunity to accelerate the discovery and characterisation of additively manufactured Type 316 stainless steel and its advanced variants. Supervised by Professor Bo Chen and Dr Andrew Hamilton, the research aims to revolutionise bulk alloy discovery for additive manufacturing by integrating smart design, 3D printing of material libraries, and AI-assisted workflows. The project addresses a critical challenge in Materials 4.0: efficiently exploring new alloys tailored to the unique thermal history of additive manufacturing processes. Through computational screening of candidate alloys and innovative 3D printing techniques, you will create compositional libraries and bespoke multi-sample fixtures to enable high-throughput characterisation and testing. Automated workflows will facilitate rapid data collection using X-ray diffraction and scanning electron microscopy, allowing for the extraction and testing of multiple samples simultaneously. The integration of AI companion agents across the pipeline will streamline materials selection, testing coordination, and data curation, driving a digital transformation in materials research. As a PhD student, you will benefit from access to state-of-the-art research infrastructure, including the Additive Materials and Structures Research Laboratory, Testing and Structures Research Laboratory (TSRL), and Material Innovation Laboratory. Comprehensive training on experimental facilities will be provided, ensuring you develop expertise in advanced manufacturing and characterisation techniques. Entry requirements include a first-class or upper second-class (2:1) honours degree (or international equivalent) in Mechanical Engineering, Materials Science, or a closely related discipline. A Master’s degree is desirable but not essential. Familiarity with additive manufacturing processes, experience with microstructural characterisation tools (SEM, XRD, EBSD), and interest in data-driven methods (machine learning, Python programming, data curation) are advantageous. Strong problem-solving skills, independence, teamwork, and motivation to contribute to digital transformation in materials research are essential. The position is fully funded for both UK and international students, with bursaries and scholarships available. Funding is awarded on a rolling basis, so early application is encouraged. The University of Southampton is committed to equality, diversity, and inclusivity, offering flexible working patterns, generous maternity policy, onsite childcare, and a range of benefits to support well-being and work-life balance. Sustainability is a core value, as demonstrated by the Platinum EcoAward. Applications are considered as received and the position will be filled once a suitable candidate is identified. The closing date is 31 March 2026. To apply, submit your application online, select the appropriate programme, and include a research proposal, CV, two reference letters, and degree transcripts/certificates. For further information, contact [email protected].