Publisher
source

The University of Manchester

Top university

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

Fully funded 3.5-year PhD studentship. The successful candidate will receive an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27), with the stipend expected to increase each year. Tuition fees will be paid. Funding is available only to UK Home fee status candidates, not overseas applicants unless they meet Home fee status requirements.

Deadline

Mar 30, 2027

Country flag

Country

United Kingdom

University

The University of Manchester

Apply for this position

Keywords

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

Suggested positions

Publisher
source

University of Warwick

Country flag

United Kingdom

PhD Studentship: Development of a Digital Twin for Smart Sustainable Steel Section Production This PhD studentship is based at the University of Warwick in the United Kingdom , within the Advanced Steel Research Centre at WMG . The project sits with the Digital Twins team and focuses on building a digital twin for steel section production , combining empirical modelling, finite element analysis, and machine learning to predict microstructural evolution and mechanical properties across the steelm...

Computer Science
Mechanical Engineering
Materials Science
+4 more

2 months ago

Publisher
source

University of Birmingham

Country flag

United Kingdom

PhD studentship at the University of Birmingham in robotic materials , mechanical metamaterials , active matter physics , and embodied artificial intelligence . The project focuses on self-learning active mechanical networks and will combine table-top robotic experiments with theoretical modelling . Research directions may be tailored to the successful candidate’s interests and expertise, with opportunities to work on decentralized learning, physical reservoir computing, contrastive learning, no...

Computer Science
Mechanical Engineering
Materials Science
+4 more

2 months ago

Publisher
source

University of Bristol

Country flag

United Kingdom

PhD opportunity at the University of Bristol in bio-inspired robotic systems for investigating biological signalling and adaptive behaviour . This project develops bioinspired soft robotic systems as embodied platforms for studying how living systems coordinate responses through physical interaction, sensing, control, and information transfer. The research sits at the intersection of robotics , mechanical engineering , biophysics , cybernetics , materials science , and computational modelling . ...

Computer Science
Biomedical Engineering
Mechanical Engineering
+8 more

3 months ago

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD opportunity at the University of Southampton in computational design and characterisation of lattice metamaterials . This project sits at the intersection of mechanical engineering , materials science , computational modelling , finite element analysis , high-performance computing , and additive manufacturing . The research will develop advanced computational methods to characterise and design lattice metamaterials with tailored mechanical properties, with applications in aerospace engineeri...

Computer Science
Biomedical Engineering
Mechanical Engineering
+8 more

3 weeks ago

Publisher
source

Behnaz Sohani

Loughborough University

Country flag

United Kingdom

Loughborough University is advertising two self-funded PhD opportunities in the Intelligent Automation Centre under the supervision of Behnaz Sohani (Assistant Professor / Lecturer in Robotics and Automation). Project 1: Intelligent Cardiovascular Digital Twin and Adaptive Control for Clinical and Sport Applications focuses on AI-driven physiological modelling, adaptive cardiovascular digital twins, data-informed health intelligence systems, nonlinear dynamical modelling, machine learning, and a...

Computer Science
Machine Learning
Biomedical Engineering
+8 more

4 months ago

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

Fully funded 3.5-year PhD studentship. The successful candidate will receive an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27), with the stipend expected to increase each year. Tuition fees will be paid. Funding is available only to UK Home fee status candidates, not overseas applicants unless they meet Home fee status requirements.

What's required

Applicants should have a relevant background in computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, human body modelling, or a related discipline. The funding is only available to candidates eligible for UK Home fee status.

How to apply

Contact the supervisor before applying and send your CV to [email protected]. Submit the application through the University of Manchester application link.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.