Fully Funded PhD Studentship for UK Home Fee Status Candidates in the Department of Materials
The University of Manchester, United Kingdom
- Institution
- The University of Manchester
- Country
- United Kingdom
- Position type
- PhD
- Subject area
- Materials Science
- Salary
- GBP 21805.00 YEAR
- Location
- Manchester, England, United Kingdom
- Funding
- Fully funded position
Want to be the strongest applicant for this position?
Book a free 15-minute call with our team. We will look at your profile against what The University of Manchester is actually looking for, and tell you honestly where you stand and what to strengthen before you apply.
Book a free call about this position →No cost, no obligation. Mentors who have secured funded PhD positions themselves.
We mentor STEM applicants only. If your research aspirations are outside STEM subjects, you're very welcome to use this board and apply directly; we just aren't the right people to mentor you.
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.
Apply directly to The University of Manchester
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by The University of Manchester, and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →Contact listed in the advert
Some positions — especially in Germany, Austria and Switzerland — are filled by writing directly to the supervisor rather than through an online form. These addresses were taken from the advert text, so check them against the official listing before you write.
A cold email to a supervisor is the highest-leverage thing you can send — and the easiest to get wrong. Ask us to look at yours before you hit send.