Leeds University Business School and Leeds School of Design invite applications for a fully funded PhD scholarship to start in October 2019 or February 2020, supervised by Prof Julia Bennell and Dr Pammi Sinha. The project will research optimisation models for sustainable fashion.
The fashion industry produces over 100 billion items of clothing each year. Inevitably, such a large consumer industry comes at a cost to the environment and there is significant interest in improving the sustainability of this industry. In the UK, clothing industry is ranked fourth for its impact on the environment, 20% of water pollution comes from textile treatment and dying and 92 million tonnes of textile waste is created annually. This project will look at two scenarios for improving the amount of waste produced by the manufacture of garments. The first is to aspire to zero waste pattern cutting and consider how manufactures and designers can work together to produce garment patterns that can tessellate. The second is to reuse old garments to make new (up-cycling) and how this can be done on a larger scale. In both models the focus of the project is to develop optimisation models for cutting garment patterns from fabric that meet the needs of the manufacturing scenarios detailed above.
The scholarship is open to UK, EU and international fee rated applicants commencing full-time or part-time PhD study within the Management Division of Leeds University Business School on 1 October 2019 or 1 February 2020. Applicants must have a good level of mathematical knowledge and some experience of computer programming. This can be demonstrated through modules taken on Undergraduate or Masters degrees.
Worth of Award
Tuition fees at the relevant UK/EU or international rate and a maintenance grant equivalent to the Research Councils UK National Minimum Doctoral Stipend (currently £15,009 per annum for 2019/20, the amount will be reviewed annually). There are no additional allowances for travel or research costs.
- Applicants must submit a research degree study application form and be in receipt of a University Banner ID Number (Student ID Number) to be eligible for this scholarship.
- Applicants must hold a First Degree at undergraduate level equivalent to at least a UK Upper Second Class Honours degree and a British Masters degree (or equivalent degree from an overseas university), in an appropriate academic discipline, with a minimum average score of 60 per cent (or equivalent).
- Applicants must have a good level of mathematical knowledge and some experience of computer programming. This can be demonstrated through modules taken on undergraduate or masters degrees.
- Applicants whose first language is not English must meet the Business School’s minimum English Language requirements prior to registration (EU/International applicants only).
- The award is available for new research students undertaking full-time or part-time study for leading to the degree of PhD.
- Students who are currently registered for PhD research study are not eligible for this competition. The award is not open to individuals who have already been awarded a PhD degree.
How to Apply
- To apply for the scholarship, applicants must apply for a place of study at Leeds University Business School.
- You will need to select Application Type ‘Research Degrees – Research Postgraduate’, Admissions Year ‘201920’, and Proposed Start Date of Research ‘1 October 2019’ or ‘1 February 2020’.
- In the Research Area/Title section you will need to specify ‘Deputy Dean’s Scholarship’ as the research area and ‘Prof Julia Bennell’ as the proposed supervisor. You do not need to upload a research proposal.
- Alongside your application, you will also need to upload two academic references, copies of certificates and transcripts for all degree-level qualifications, an English language certificate (EU/international candidates only) and any other certificates which show relevant additional training.
- To be considered for the scholarship, applicants will also need to complete the scholarship application form.
Deadline: Applications close April 30, 2019