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

About this position

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 January 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 pengpeng.hu@manchester.ac.uk .

£21,805 - please see advert

Funding

GBP 21,805 per year

How to apply

Read the full advert on the source site — it carries the authoritative terms.
Email the contact below with your CV and a short, specific message. See Emailing Professors.
Prepare your SOP, CV, transcripts and referees before the deadline.
Apply through the university's own portal. Never pay a fee to a third party.

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