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 in 1st April 2024 or 1st October 2024 at the latest. 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, directly contributing to up 10% of global GHG emissions, the consumption of vast quantities of freshwater and a high dependency on chemical use. The industry is also associated with an estimated 92 million of tonnes of waste going to landfill.&nbsp;</p> <p>The aim of this project is to improve the sustainability of the fashion industry by exploring the latest innovations in materials, yarns, fabrics, and finishing to improve garment durability. The project will quantify the subsequent environmental improvements achieved with these innovations, based on, where possible, the development of commercial prototypes. From this work, the project will create a technical tool kit for industry and others to understand how they can apply these innovations to the fashion industry and so reduce its impact on the environment.</p> <p>The environmental impacts of the industry are amplified by the current fast fashion model, where the technical design and product development processes focus on fashionability rather than quality and durability. As a result, garments tend to have short lifespans and are quickly disposed. 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>Garment durability is a key component of circular economy models. Re-use and hiring/leasing models rely on garments that have been designed to have extended life spans to ensure they retain their functionality and physical appearance so they can be re-used by multiple consumers.</p> <p>Improving durability to extend garment lifetimes is also now considered by many organisations, including the UNEP, UK Government, the EU and responsible brands, as a vital tool to reduce the industry&rsquo;s environmental impacts. Clothing that has been technically designed to be more durable will remain in use with consumers for longer: this reduces waste and the need to produce new replacement garments.</p> <p>The project aims align 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. Price V Durability) The project will be supported by the Textile 2030 initiative (Textiles2030), 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>. 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://leeds.onlinesurveys.ac.uk/litac-scholarship-the-application-of-textile-innovations">Scholarship Application Form</a>. You must submit your scholarship application by <strong>17.00 p.m. 4th of January 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>