LITAC - The Application of Textile Innovations to Improve Clothing Sustainability

LITAC (Leeds Institute of Textiles and Colour) hosted by the School of Design, is offering a number of highly competitive PhD scholarships consisting of the award of tuition fees and an annual maintenance stipend that matches UKRI rates (18,622 GBP in 2023/24) along with a significant element of training and development expenses also incorporated within the Scholarship package. The scholarships are available to start on 1st October 2024. All candidates must be UK applicants and will be assessed and selection is based on academic merit.<br /> <br /> Doctoral research students in LITAC will develop the ability to pursue research that advances the disciplines of textile technology, textile and fashion design, polymer science, and colour science and technology to find solutions to global challenges using advanced research tools and techniques. They will learn how to derive implications from their research results and communicate their findings to policy makers, practitioners, academics and industrial partners.

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" /></p> <p>The fashion industry has a huge impact on the environment, contributing 10% of global GHG emissions, the consumption of vast quantities of freshwater and it is associated with an estimated 92 million of tonnes of garment waste.&nbsp;</p> <p>These impacts are amplified by the current fast fashion model, where design and product development processes focus on fashionability rather than quality and durability. However, product durability is a key component of circular economy models such as garment re-use and leasing.&nbsp;</p> <p>The aim of this project is to improve the sustainability of the fashion industry by exploring and applying the latest textile innovations to improve garment durability.&nbsp;</p> <p>The project continues the highly successful research at the School of Design and our well-established collaboration with WRAP and the Textiles 2030 initiative, as well as our strong links with the UK textiles and fashion industry.&nbsp;</p> <p>It has been recognised that poor garment durability leads to shorter product lifespans and garments are disposed of more quickly. Poor garment durability increases garment waste and drives increased demand for the manufacture of new garments; both intensify the environmental impacts of the industry.</p> <p>Improving garment durability to extend their utilisation and lifetimes is considered by many organisations, including the UNEP, UK Government, the EU and responsible brands and retailers, as a vital tool to reduce the industry&rsquo;s environmental impacts.&nbsp;</p> <p>Clothing that has been technically designed to be more durable will remain in use with consumers for longer, thus reducing waste and the need to produce new replacement garments.</p> <p>This project will build on current research to explore how garment durability can be significantly improved, so lifespans can be extended, and waste is reduced. The project will quantify the subsequent environmental improvements achieved through the use of new innovations in raw materials, yarns and fabric manufacturing and dyeing and finishing.&nbsp;</p> <p>Where possible, the project will developed commercial prototypes to help create a technical tool kit for improving garment durability that can be used by industry and others so they can contribute to a reduction in the environmental impact of the industry.</p> <p>The project aligns with the UK Government strategy for textile waste reduction, the Textiles 2030 strategy for UK fashion and the EU eco-design directives including the Product Environmental Performance (PEF) agenda. As such it is expected that the project outputs will contribute to the thinking of these and other initiatives.&nbsp;</p> <p>&nbsp;</p> <p><u><strong>Industrial Collaborations:</strong></u></p> <p>The successful applicant will join the <a href="https://www.leeds.ac.uk/leeds-institute-textiles-colour">Leeds Institute of Textiles and Colour (LITAC)</a>, a collaborative international research Institute that applies academic expertise, working together with external partners, both industrial from across the world, to address global challenges and sustainable development in textile and colour industries. We are focused on the development of innovative science and technology, materials, methods and processes. Technology-driven sustainable development is a major part of our work, hosted by the <a href="https://ahc.leeds.ac.uk/design">School of Design</a> at the University of Leeds.&nbsp;</p> <p>The <a href="https://ahc.leeds.ac.uk/design">School of Design</a> is a world leading research centre with a focus in creativity and developing innovative materials and manufacturing solutions with interdisciplinary researchers and industrial partners.</p> <p>We have a strong industrial collaboration with UK and international based textiles and natural polymers manufacturing industries. These industrial collaborators will work closely with the PhD student.&nbsp;</p> <p>In addition, the supervisory team have strong links with a wide range of external organisations across the textile and clothing sectors and have an excellent track record for working in collaboration with others to deliver high quality impactful research (e.g. <a href="https://www.leeds.ac.uk/news-working-business/news/article/5346/why-price-does-not-indicate-how-long-clothes-will-last">Price V Durability</a>) The project will be supported by the Textile 2030 initiative (<a href="https://wrap.org.uk/taking-action/textiles/initiatives/textiles-2030">Textiles2030</a>), as well as a number of innovative UK clothing and fashion brands.&nbsp;</p> <p><u><strong>Other Conditions:</strong></u></p> <ul> <li>Applicants must not have already been awarded or be currently studying for a doctoral degree.</li> <li>Applicants must live within a reasonable distance of the University of Leeds whilst in receipt of this scholarship.</li> </ul>

<p><u><strong>Stage 1</strong></u></p> <p>First, apply for a research place of study, through the <a href="https://prod.banner.leeds.ac.uk/ssb/bwskalog_uol.P_DispLoginNon">online application form</a>&nbsp;by 27^th&nbsp;May 2024.&nbsp;Please state clearly that the funding you wish to be considered for is &lsquo;The Application of Textile Innovations to Improve Clothing Sustainability&rsquo; with Dr Mark Sumner and Dr Mark Taylor&nbsp;as your proposed supervisors. You will be expected to meet our <a href="https://ahc.leeds.ac.uk/design-research-degrees/doc/apply-9">eligibility criteria</a> for PHD candidates.</p> <p>In order to be considered for the Studentship you must submit all the required supporting documents for your application for PhD study.</p> <p>Please note that you will not need to submit a Research Proposal as part of your application for this project. In place of a Research Proposal please can you submit a statement which convey&rsquo;s your motivation and enthusiasm for the project as outlined in the Scholarship advert. See stage 2 below.</p> <p>Once you have received your student ID number (a 9-digit number) move onto stage 2.</p> <p><u><strong>Stage 2</strong></u></p> <p>Apply for the LITAC Project &ndash; &lsquo;The Application of Textile Innovations to Improve Clothing Sustainability&rsquo; by completing the <a href="https://app.onlinesurveys.jisc.ac.uk/s/leeds/litac-application-textile-innovation-for-clothing-sustainability">Scholarship Application Form</a>. You must submit your scholarship application by <strong>17.00 p.m. 27^th of May 2024.</strong></p> <p>The scholarship application includes the supporting statement referenced in Stage 1.&nbsp;This statement should demonstrate your suitability for your intended PhD Project and not be longer than two pages. The statement should specifically include details on your interest in the project and why you have chosen to apply for this in particular. &nbsp;The statement should also include how you will apply your current skills, knowledge and experience to undertake the PhD and the approach you would take to develop the project.</p> <p>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</p>

Applicants should have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in Textile Technology, Fashion Technology or another appropriate undergraduate or Masters discipline. We welcome applicants who have textile, fashion or clothing industrial experience. Applicants who are uncertain about the requirements for this research degree course are advised to contact Dr Mark Sumner (main supervisor) prior to making an application.<br />

The minimum English language entry requirement for research postgraduate research study in the School of Design is an IELTS of 6.5 overall with at least 6.0 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid.

<p>For further information related to the application process please email the Faculty PGR Admissions Team at&nbsp;ahcpgradmissions@leeds.ac.uk</p> <p>For further information related to the project please contact Dr Mark Sumner (M.P.Sumner@leeds.ac.uk)</p>