Funded studentship on 3-D body scans


3.5-Year Funded PhD Studentship on 'Novel analytics of 3DBS outputs: hidden figures'

Supervisors: Dr Simeon Gill; Dr Steve Hayes in the Department of Materials.

This project seeks to unearth the full potential of 3-D Body Scans acquired over the past six years at UoM through the novel application of commercial software, Artificial Intelligence and potentially the design and creation of bespoke software - or methods of analysis – to extract hitherto unavailable measurements from 3DBS outputs that are key to the enhanced fit and development of body worn products.

We have a data set in excess of 1000 body scans collected over 6 years that – with available analysis software – relinquish some (but not all) measurements suitable to pattern engineering for garments (and other body worn systems). Yet there still remain key measurements and dimensions that have yet to be mined from this data.

Starting with this data set the project will explore the potential for existing software tools to unleash these hidden numbers. The application of alternative image and data analytical methods will be evaluated leading to a synthesized approach and the development of new ways to fully access the pertinent data and apply it effectively.

At the University of Manchester, we pride ourselves on our commitment to fairness, inclusion and respect in everything we do. We welcome applications from people of all backgrounds and identities, and encourage you to bring your whole self to work and study. We will ensure that your application is given full consideration without regard to your race, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, marital or pregnancy status, or socioeconomic background. All PhD places will be awarded on the basis of merit.

Funding and Eligibility Notes

  • This is a 3.5 Year EPSRC DTA studentship covering fees and stipend (£15,609 in 2021-22).
  • Open to UK applicants only.
  • Start date - January 2022
  • Candidates should have a good first degree or Masters in subjects such as computing, engineering, statistics.


To apply, please make an enquiry through the listing on FindAPhD.