University of Leeds
Top university
1 month ago
PhD in AI for Structural Engineering University of Leeds in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
This is a non-funded PhD project. Applicants are expected to be self-funded or secure external funding. Costs such as visa, Immigration Health Surcharge, and flights must be met by the applicant unless covered by another funding source.
Deadline
Apr 30, 2027
Country
United Kingdom
University
University of Leeds
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD opportunity at the University of Leeds in AI for Structural Engineering, supervised by Professor David Connolly in the School of Civil Engineering.
This project sits at the intersection of civil engineering, computer science, machine learning, computer vision, digital twins, physics-informed neural networks (PINNs), and materials science. Research themes include generative design, structural optimization, predictive health monitoring, automated defect detection, real-time sensor integration, and AI-driven discovery of sustainable or self-healing construction materials.
The post is non-funded, so applicants should be self-funded or already have external funding secured. The page also notes that applicants should have identified a planned funder before contacting the supervisor. International applicants are welcome, and the project is open to all nationalities.
Typical entry requirements are a first-class or upper second-class honours degree, or equivalent, in an appropriate discipline; some cases may require a Masters degree. Suitable backgrounds include Structural Engineering, Civil Engineering, Computer Science, Data Science, Mathematics, Statistics, Physics, Mechanical Engineering, and Aerospace Engineering. English language requirement: IELTS 6.0 overall with at least 5.5 in each component, or equivalent, unless exempt.
Deadline: 30 April 2027. Start date: 1 October 2027. Apply via the University of Leeds research degree portal and state the project title plus Professor David Connolly as proposed supervisor.
Funding details
This is a non-funded PhD project. Applicants are expected to be self-funded or secure external funding. Costs such as visa, Immigration Health Surcharge, and flights must be met by the applicant unless covered by another funding source.
What's required
Applicants should normally hold at least a first-class or upper second-class British Bachelors Honours degree, or equivalent, in an appropriate discipline; some research degrees may require a Masters degree. Suitable backgrounds include Structural Engineering, Civil Engineering, Computer Science, Data Science, Mathematics, Statistics, Physics, Mechanical Engineering, or Aerospace Engineering. Applicants must meet the University of Leeds minimum English language requirement of IELTS 6.0 overall with at least 5.5 in each component or equivalent, with the test dated within two years of the start date. Applicants should have identified a planned funder or self-funding route before contacting the supervisor.
How to apply
Apply through the University of Leeds research degree application portal. Select 'Research Degrees – Research Postgraduate', choose 'PhD Civil Engineering FT', and use 1 October 2027 as the proposed start date. State clearly that you are applying for 'PhD in AI for Structural Engineering' and name Professor David Connolly as proposed supervisor. Contact the supervisor for an informal discussion before applying if desired.
More information can be found here
Ask ApplyKite AI
How do I apply for this?
Sign in for free to reveal details, requirements, and source links.