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The University of Manchester

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Fully Funded PhD Studentship in AI for Engineering, Materials, and Wearable Technologies The University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Mar 30, 2027

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Materials Science
Computer Vision
Wearable Technology
Textile Engineering
Digital Twin Technology
Robotics
Smart Textile
Structural Materials
Machine learning

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About this position

Fully funded PhD studentship at The University of Manchester in the Department of Materials, focused on AI for Engineering.

The project is flexible and will be developed jointly with the supervisor based on the candidate’s background and research interests. Possible research 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.

This opportunity is especially relevant to applicants with backgrounds in AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas.

The studentship is 3.5 years long and is fully funded for candidates eligible for UK Home fee status. The award includes an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27) and tuition fees are covered. The start date is January 2027.

Deadline: 30 March 2027. Applicants are advised to apply early, as the advert may be removed before the deadline.

How to apply: Contact the supervisor first and send your CV to [email protected]. Then apply via the University of Manchester portal: uom.link/pgr-apply-2425.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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