LITAC Scholarship - Smart fibre and textile development for ultrasonic monitoring

LITAC (Leeds Institute of Textiles and Colour), which sits within the School of Design, is offering a highly competitive PhD scholarship consisting of the award of tuition fees and an annual maintenance stipend that matches UKRI rates (19,237 GBP in 2024/25). The scholarship is available to start on 1st October 2025. All candidates must be UK applicants and will be assessed and selected based on academic merit.<br />

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" /></p> <p>Smart textiles, which have a breadth of applications, can also carry various technical limitations, especially those that rely on printing or embroidery to integrate electronics into the material. For example, some key challenges include: </p> <ol> <li>Poor comfortability and durability for users; printed thin-film electronics applied as thin film (e.g. polyurethanes) substrate can result in a stiff textiles and result in discomfort. Flexibility and air permeability can be especially poor in these instances. </li> <li>Difficult integration; the current smart textile mainly focuses on flexible conductors, but integrated with commercial hardware, e.g. battery and semiconductors, which will further reduce the comfort levels, durability and washability for both printed and embroidered materials. </li> <li>Complicated fabrication processes such as masking, printing etc., which necessitate high power need, resulting in material waste and high upfront costs.</li> </ol> <p>In this work, we aim to address these limitations and optimise the development of smart textiles by way of developing a self-functionalising, ultrasonic imaging textile. Piezoelectric fibres will be developed with synthesis of novel high-performance piezoelectric nanocomposites (e.g. Potassium Sodium Niobate (KxNa1-xNbO3, KNN)). </p> <p>This smart textile will integrate novel fibre battery, semiconductor and conductors to offer better comfortability as a result of higher porosity and excellent biocompatibility. This result will be an innovative printing and processing free textile ideal for imaging monitoring.</p> <p>The project will directly contribute to healthcare, such as monitoring of cancer (e.g. breast cancer), organ disease (e.g. heart failure, lung infection), bone fracture and implants, with a lower cost and more independent use of patients to save high costs and stress of the NHS. Beyond this, the smart ultrasonic fibre and textile can be made as engineering composites with matrix resin cured for aerostructure, wind blade, pipeline etc. The in-situ ultrasonic imaging could deliver a more reliable and accurate damage monitoring and analysis, especially for those at harsh environment where technicians can barely access to, therefore, effectively reduce the maintenance cost and recycle or repair request for circular economy.</p> <p>The successful applicant will join the Leeds Institute of Textiles and Colour (LITAC), 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. </p> <p>The School of Design 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>The post-holder will also join the vibrant LITAC researcher community, who meet in sessions that are designed to enhance additional skills relevant to their academic career.</p> <p>Topics include, developing speaking and presentation skills, delivering compelling research posters, maximising the use of a travel allowance and more.<br />  </p>

<p><strong>Duration of the Award</strong></p> <ul> <li>Full-time (3 years), pro-rata for part-time. The award will be made for one year in the first instance and renewable for a further period of up to 2 and a half years (pro-rata for part-time), subject to satisfactory academic progress. </li> </ul> <p><strong>Funding</strong></p> <ul> <li>Full Fees</li> <li>Maintenance (£19,237 in Session 2024/25 for full-time study, part-time will be pro-rata at 60%). This amount increases per annum in line with the Research Council UK rate.</li> <li>Please be aware that any expenses related to the relocation of international students to the UK (visa, insurance, NHS fees, flights, etc) would be their responsibility and is not covered by this award.</li> </ul> <p><strong>Other Conditions</strong></p> <ul> <li>Awards must be taken up by 1st of October 2025</li> <li>The awards are available for new Postgraduate Researchers undertaking full-time or part-time research study leading to the degree of PhD. Students who are already registered for PhD research study are excluded from applying. </li> <li>Applicants must live within a reasonable distance of the University of Leeds whilst in receipt of this scholarship.</li> </ul>

<p><strong>Stage 1</strong></p> <p>First, apply for a research place of study, through the <a href="https://studentservices.leeds.ac.uk/pls/banprod/bwskalog_uol.P_DispLoginNon">online application form.</a> Please state clearly that the funding you wish to be considered for is “<strong>The Smart fibre and textile development for ultrasonic monitoring” </strong>LITAC Scholarship with Professor Yu Shi, Professor Ningtao Mao, Professor Stephen Russell and Professor Steven Freear 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. 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 conveys 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><strong>Stage 2</strong></p> <p>Apply for the Smart fibre and textile development for ultrasonic monitoring Scholarship by completing the online <a href="https://app.onlinesurveys.jisc.ac.uk/s/leeds/litac-scholarship-smart-fibre-and-textile-development-for-ultra">Scholarship Application Form</a>. You must submit your scholarship application by <strong>12:00 p.m. UK time 3rd March 2025</strong></p> <ul> <li>Please note that an unsuccessful application for this scholarship does not exclude you from applying for other research study opportunities or scholarships offered by the University of Leeds. </li> <li>Please note that, due to the large volume of applications, the University of Leeds will not enter into any correspondence regarding the progress of an application until the outcome is known. </li> <li>If English is not your first language, you must provide evidence that you meet the minimum English language requirements (below). </li> </ul> <p><em>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.</em></p>

The minimum entry requirements for PGR (Masters by research or PhD) study is 2.1 honours degree. For PhD, a Masters or Integrated Masters degree isn’t a requirement but is advantageous given the volume of applications we receive – ideally you will have achieved a distinction or at least a merit, especially in your Masters dissertation or final research project.

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. Some schools and faculties have a higher requirement.

<p>For further information please contact the Admissions team on ahcpgradmissions@leeds.ac.uk.</p>