Postdoctoral Research Associate – AI-Enhanced Spectroscopic X-ray Imaging for Real-Time Metal Solidification
University of Oxford – Department of Materials
Begbroke Science Park, Oxford, England, United Kingdom
General Description –
The Department of Materials at the University of Oxford is seeking an outstanding Postdoctoral Research Associate to join the Process Dynamics research group as part of a cutting-edge UKRI/EPSRC-funded initiative focused on AI-enhanced spectroscopic X-ray imaging for real-time metal solidification. The successful candidate will work at the intersection of experimental X-ray imaging science and artificial intelligence to develop novel spectroscopic imaging modalities, apply machine learning and computer vision models to classify and interpret complex X-ray datasets, and integrate experimental and computational insights to advance sustainable metal manufacturing technologies. This research aims to drive understanding of solidification mechanisms in recycled and high-grade metal alloys, enabling improved microstructural engineering and advancing manufacturing efficiency. The role involves close collaboration with scientists, technicians, and project partners, including those from the Science and Technology Facilities Council (STFC) and Loughborough University, and engagement with industry stakeholders to translate scientific innovation into impactful knowledge.
Eligibility Criteria
• A completed doctoral degree (PhD) or near completion in Materials Science, Physics, Engineering, or a relevant physical sciences discipline.
• Demonstrated research experience with X-ray imaging experiments, ideally including spectroscopic approaches applied to metallic systems such as aluminium alloys or steels.
• Proven ability to apply artificial intelligence, machine learning, or computer vision techniques to scientific imaging data.
• Experience in developing or configuring bespoke laboratory imaging setups is desirable.
Required Expertise/Skills
• Strong background in experimental X-ray imaging and spectroscopic techniques, with practical hands-on experience.
• Expertise in machine learning and computer vision, supported by experience using programming languages such as Python for data analysis.
• Excellent oral and written communication skills, capable of presenting complex scientific results to specialist and non-specialist audiences.
• Ability to work effectively within multidisciplinary teams and contribute to collaborative research.
Salary Details –
This appointment is typically aligned with Research Grade 7 at the University of Oxford, with a salary range of £39,424 to £47,779 per annum.
Application Deadline –
Applications must be submitted by 12.00 midday (GMT) on Monday, 9 March 2026.