Key facts
- Type of research degree
- PhD
- Application deadline
- Ongoing deadline
- Country eligibility
- International (open to all nationalities, including the UK)
- Funding
- Non-funded
- Supervisors
- Professor David Connolly
- Schools
- School of Civil Engineering
- Research groups/institutes
- Cities and Infrastructure, Materials and Structures
Computer vision for civil engineering applications
<p>In recent years there has been a significant growth in the condition monitoring of civil engineering infrastructure using camera technologies. For example, depending upon the application, vehicle-borne cameras, UAV-borne cameras and space-borne cameras are rapidly replacing traditional manual inspection due to cost, reliability and safety advantages. </p> <p>For each of these camera mounting options, there is also a wide range of camera types which can be used. For example, traditional cameras record RGB images to allow for the detection of the general appearance of their target. Alternatively, thermal cameras can also be used to determine heat, while hyperspectral images are used to detect different material types using spectral fingerprints.</p> <p>Computer vision is the field of artificial intelligence used to derive information from these images and videos. It’s a powerful tool for processing image data recorded during the condition monitoring of civil engineering infrastructure. Therefore it is at the forefront of the AI revolution and thus a rapidly evolving field. In engineering it is commonly used for either inspection or monitoring:</p> <p><strong>Inspection</strong>: Damage detection, change detection, object detection, segmentation and structural component recognition of civil structures.</p> <p><strong>Monitoring</strong>: Measurement of displacements, stresses, strains, accelerations of civil structures, either under static or dynamic conditions.</p> <p>Computer vision can be applied for a wide range of civil engineering applications, for example in structural engineering, geotechnical engineering, water engineering, construction engineering, transport engineering, environmental engineering, surveying and urban engineering.</p> <p>If you have already secured, or will be able to secure scholarship funding for a PhD in computer vision in the above fields or a related field, please contact d.connolly@leeds.ac.uk to discuss next steps.</p>
<p>Formal applications for research degree study should be made online through the <a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University's website</a>. Please state clearly in the Planned Course of Study section that you are applying for <em><strong>PhD Civil Engineering FT, </strong></em>in the research information section that the research degree you wish to be considered for is <em><strong>Railway Machine Learning and AI </strong></em>as well as <a href="https://eps.leeds.ac.uk/civil-engineering/staff/1204/prof-david-p-connolly">Professor David Connolly</a> as your proposed supervisor and in the finance section, please state clearly <em><strong>the funding that you are applying for, if you are self-funding or externally sponsored</strong></em>.</p> <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> <p class="MsoNoSpacing">Applications will be considered on an ongoing basis. Potential applicants are strongly encouraged to contact the supervisors for an informal discussion before making a formal application. We also advise that you apply at the earliest opportunity as the application and selection process may close early, should we receive a sufficient number of applications or that a suitable candidate is appointed.</p> <p>Please note that you must provide the following documents at the point you submit your application:</p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> </ul>
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 6.0 overall with at least 5.5 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 style="margin-bottom:12px"><strong>Self-Funded or externally sponsored students are welcome to apply.</strong></p> <p><strong>UK</strong> – The <a href="https://phd.leeds.ac.uk/funding/209-leeds-doctoral-scholarships-2022">Leeds Doctoral Scholarships</a> and <a href="https://phd.leeds.ac.uk/funding/234-leeds-opportunity-research-scholarship-2022">Leeds Opportunity Research Scholarship</a> are available to UK applicants (will reopen in October 2024 for October 2025 entry). <a href="https://phd.leeds.ac.uk/funding/60-alumni-bursary">Alumni Bursary</a> is available to graduates of the University of Leeds.</p> <p><strong>Non-UK</strong> –The <a href="https://phd.leeds.ac.uk/funding/48-china-scholarship-council-university-of-leeds-scholarships-2021">China Scholarship Council - University of Leeds Scholarship</a> is available to nationals of China (will reopen in October 2024 for October 2025 entry). The <a href="https://phd.leeds.ac.uk/funding/73-leeds-marshall-scholarship">Leeds Marshall Scholarship</a> is available to support US citizens. <a href="https://phd.leeds.ac.uk/funding/60-alumni-bursary">Alumni Bursary</a> is available to graduates of the University of Leeds.</p> <p><strong>Important:</strong> Any costs associated with your arrival at the University of Leeds to start your PhD including flights, immigration health surcharge/medical insurance and Visa costs are <strong>not</strong> covered under these studentships.</p> <p>Please refer to the <a href="https://www.ukcisa.org.uk/">UKCISA</a> website for information regarding Fee Status for Non-UK Nationals.</p>
<p>For further information about your application, please contact Doctoral College Admissions by email to <a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a></p> <p>For further information about this project, please contact Professor David Connolly by email to <a href="mailto:D.Connolly@leeds.ac.uk">D.Connolly@leeds.ac.uk</a></p>