Key facts
- Type of research degree
- PhD
- Application deadline
- Monday 31 May 2027
- Project start date
- Friday 1 October 2027
- Country eligibility
- International (open to all nationalities, including the UK)
- Funding
- Non-funded
- Supervisors
- Dr Ali Rahman
- Additional supervisors
- Dr. Sepehr Ghafari
- Schools
- School of Civil Engineering
- Research groups/institutes
- Materials and Structures
This PhD project aims to develop advanced AI-driven models for predicting the cracking resistance of next-generation asphalt materials, particularly those modified with polymers, industrial by-products, or sustainable additives. Cracking remains one of the most critical failure modes in flexible pavements, significantly affecting durability, safety, and maintenance costs.<br /> <br /> The project will combine laboratory testing (e.g., Semi-Circular Bending, Indirect Tensile Strength, and Fatigue tests) with state-of-the-art artificial intelligence techniques such as deep neural networks, hybrid AI-physical models, and explainable machine learning to predict key fracture parameters, including fracture energy, crack growth rate, and fatigue life under varying loading and environmental conditions.<br /> <br /> By integrating AI with fracture mechanics principles, the research seeks to:<br /> • Reduce dependence on extensive physical testing,<br /> • Identify key factors influencing cracking resistance,<br /> • Optimise material design for costs and enhanced long-term performance.<br /> <br /> This PhD is ideal for candidates with a background in pavement engineering, materials science, or computational modelling, who are interested in combining traditional mechanics with modern AI to address real-world infrastructure challenges.
<p>To apply for this project you will need to make a formal application for research degree study through the <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University website</a>. You will need to create a login ID with a username and PIN. </p> <p>• For <strong>Application type</strong> please select <strong>Research Degrees – Research Postgraduate</strong>. <br /> • The admission year for this project is <strong>2027/28</strong> Academic Year. <br /> • You will need to select your <strong>Planned Course of Study</strong> from a drop-down menu. For this project, scroll down and select <strong>PHP Civil Engineering Full Time.</strong> <br /> • The project start date for this project is <strong>1 October 2027</strong>, please use this as your <strong>Proposed Start Date of Research</strong>. <br /> • Please state clearly in the<strong> Research Information Section</strong> that the research degree you wish to be considered for is <strong>AI-Driven Prediction of Cracking Resistance in Advanced Asphalt Materials</strong> as well as <a href="https://eps.leeds.ac.uk/faculty-engineering-physical-sciences/staff/11618/dr-ali-rahman">Dr Ali Rahman</a> as your proposed supervisor.</p> <p><strong>Please state clearly in the Finance section</strong>, <strong>the funding that you are applying for, if you are self-funding or externally sponsored</strong>.</p> <p>More information on how to apply is available on our website <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">here</a>. You will be required to provide a personal statement which outlines your interest in the project you are applying for, why you have chosen it and how your skills map onto the requirements of the project.</p> <p>We will assess applications continuously as we receive them. We welcome and strongly encourage any potential applicants to contact the supervisor(s) for an informal discussion, prior to applying, and recommend submitting your application early.</p> <p><strong>If you are applying with external sponsorship or you are funding your own study, please ensure you provide your supporting documents at the point you submit your application:</strong></p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date including the grading scheme</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> </ul> <p>If English is not your first language, you must provide evidence that you meet the University's minimum English language requirements (below).</p> <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>
Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.
The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.5 overall with at least 6.5 in writing and at least 6.0 in reading, 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>This is a non funded PhD project. Applicants are expected to be self funded or to secure external funding.</p> <p>You can find out more about our Funding Opportunities on our <a href="https://phd.leeds.ac.uk/">Postgraduate Research Opportunities</a> website.</p> <p><strong>Important: </strong>Please note that all costs associated with your arrival at Leeds (<a href="https://www.leeds.ac.uk/international-visas-immigration/doc/applying-student-visa">visa, Immigration Health Surcharge</a>, flights etc) would have to be met by yourself, or you will need to find an alternative funding source.</p>
<p>For questions related to the application process and eligibility, please contact PGR Admissions by email to <a href="mailto:epspgradmissions@leeds.ac.uk">epspgradmissions@leeds.ac.uk</a></p> <p>For further information about this project, please contact Dr. Ali rahman by email to <a href="http://a.rahman1@leeds.ac.uk">a.rahman1@leeds.ac.uk</a>.</p>