Fully Funded PhD Studentship for UK Home Fee Status Candidates in the Department of Materials

Research theme: AI for Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2027. This funding is not available to Overseas applicants unless they meet UK Home fee status requirements. We recommend that you apply early as the advert may be removed before the deadline. The project topic is flexible and will be developed jointly by the student and the supervisor, depending on the candidate’s background and research interests. Possible directions include 3D body scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply. Applicants should have a relevant background in areas such as computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, human body modelling, or a related discipline. This funding is only available to candidates eligible for UK Home fee status. We strongly recommend that you contact the supervisor(s) for this project before you apply. Plesae send your CV to [email protected].

Conduct a 3.5-year PhD research project focused on AI for Engineering. Develop a flexible research topic in collaboration with the supervisor, potentially covering areas like digital twins, wearable sensing, and garment fit evaluation.

Applicants must be eligible for UK Home fee status and possess a relevant background in AI, computer vision, robotics, or textile engineering. A degree in a related discipline is required to pursue the PhD.

• Tuition Fees Paid • Tax-free Stipend

• Machine learningPreferred

Identified from the job description. Confirm important requirements above.

• Artificial Intelligence
• Computer Vision
• Computer Graphics
• Machine Learning
• Robotics
• Wearable Technologies
• Textile Engineering
• Fashion Technology
• Digital Fashion
• Human Body Modelling
• 3D Body Scanning
• Cloth Simulation
• Digital Twins
• Smart Textiles

• Science & Research
• Engineering
• Education
• Technology
• Manufacturing

Minimum education

Master’s degree

Minimum experience

0+ years

Apply by

Aug 30, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Internship