At a Glance
- Tasks: Develop AI-designed bio-based capsules for self-healing asphalt to combat climate change.
- Company: Join Swansea University, a leader in innovative engineering research.
- Benefits: Full tuition coverage, annual stipend, and additional research expenses.
- Other info: Exciting opportunity to work at the intersection of technology and environmental sustainability.
- Why this job: Make a real impact on sustainable road infrastructure while advancing your academic career.
- Qualifications: 1st class degree or equivalent; passion for engineering and AI required.
The predicted salary is between 21805 - 21805 ÂŁ per year.
Climate change and advances in artificial intelligence (AI) are reshaping road design, as accelerated asphalt ageing driven by environmental and traffic changes leads to earlier cracking and increased pothole formation. Traditional repair methods are often labour-intensive and resource-consuming, highlighting the need for advanced self-healing solutions to design more sustainable and durable asphalt roads.
Bio-based capsules containing rejuvenating agents offer a promising strategy to extend pavement lifespan by autonomously repairing micro-cracks and mitigating early-stage pothole formation. By integrating AI-enhanced computational design with experimental validation, these systems can be precisely optimised to deliver exceptionally durable, cost‑effective, and environmentally sustainable asphalt materials, with the potential to revolutionise road infrastructure maintenance.
This project aims to develop advanced bio-based capsules with rejuvenating agents, designed using AI-enhanced computational methods and experimentally validated, to establish a fundamental understanding of their structure–property relationships to promote adaptive self‑healing asphalt. We will adopt a bottom‑up methodology based on multiscale experimental testing, combined with a suite of AI-enhanced computational approaches. These will include machine learning for property prediction, generative models for inverse design, and physics-informed neural networks (or Gaussian predictors) to integrate experimental data with physical constraints, enabling the design and optimisation of bio‑based capsules for self‑healing asphalt materials.
English Language requirements: If applicable – IELTS 6.5 overall (with a score of at least 6.5 in each individual component) or equivalent that is recognised by Swansea University.
Additional Information: This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently ÂŁ21,805 for 2026/27). Additional research expenses of up to ÂŁ1,000 per year will also be available.
Eligibility criteria: Please note that the programme requires some applicants to hold ATAS clearance, further details on ATAS scheme eligibility are available on the UK Government website. ATAS clearance IS NOT required to be held as part of the scholarship application process. Successful award winners (as appropriate) are provided with details as to how to apply for ATAS clearance in tandem with a scholarship course offer.
Candidates must have achieved, or be expecting to achieve, a 1st class UK undergraduate degree (or equivalent international qualification), or a 2:1 UK undergraduate degree and a Distinction in a UK master’s degree (or international equivalent). Where applicants have multiple master’s degrees, a distinction must be held in the degree that is most relevant to the intended PhD study. If you are currently studying for a master’s level qualification with an expected award date that is later than 01/10/2026, you should hold a minimum of an upper‑second‑class (2:1) honours degree. You should be able to demonstrate a pass with a minimum grade average of at least 70% for your part‑one master’s degree modules (the taught aspect of your master’s course rather than a research‑focused dissertation) and submit your dissertation by no later than 30/09/2026.
NB: If you hold a non‑UK degree, please see the Swansea University degree comparisons to find out if you meet the eligibility criteria. Applicants must be able to begin their course of study in October 2026. As a cohort‑based programme, deferral to an alternative enrolment window within the academic year or to another academic year is not permissible. Please note that both the degree and language‑proficiency entry requirements for SURES are higher than the baseline standard for entry that is stipulated for most of the PhD programmes at Swansea University.
UK and International applicants: Please note that International applicants will be required to hold a SUIPRES scholarship, with further guidance to follow if shortlisted.
Civil Engineering: SURES Funded PhD in Advanced AI-Designed Bio-Based Capsules for Self-Healing[...] in Swansea employer: Swansea University
Contact Detail:
Swansea University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Civil Engineering: SURES Funded PhD in Advanced AI-Designed Bio-Based Capsules for Self-Healing[...] in Swansea
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty at Swansea University. They can give you insider info about the programme and might even put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI and self-healing materials. Be ready to discuss how your background fits into the project’s goals. We want to see your passion!
✨Tip Number 3
Showcase your skills! If you’ve worked on relevant projects, be sure to highlight them during discussions. We love seeing practical experience that aligns with our research focus.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need right there.
We think you need these skills to ace Civil Engineering: SURES Funded PhD in Advanced AI-Designed Bio-Based Capsules for Self-Healing[...] in Swansea
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the project on AI-designed bio-based capsules. We want to see your passion for civil engineering and sustainability shine through!
Showcase Relevant Experience: Include any relevant projects or research you've done that relates to self-healing materials or AI in engineering. This is your chance to show us what you can bring to the table, so don’t hold back!
Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your enthusiasm for the role comes across!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your details correctly and can get back to you as soon as possible.
How to prepare for a job interview at Swansea University
✨Know Your Stuff
Make sure you’re well-versed in the latest advancements in AI and bio-based materials. Brush up on how these technologies can be applied to civil engineering, especially in self-healing asphalt. Being able to discuss specific examples will show your passion and knowledge.
✨Showcase Your Research Skills
Prepare to talk about any previous research experience you have, particularly if it relates to environmental technology or materials science. Be ready to explain your methodology and findings clearly, as this will demonstrate your ability to contribute to the project.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the project and the team. Inquire about the specific challenges they face in developing these bio-based capsules or how they integrate AI into their research. This shows you’re thinking critically about the role.
✨Demonstrate Team Spirit
Since this is a collaborative research environment, highlight your teamwork skills. Share examples of how you’ve successfully worked in teams before, especially in academic or research settings. This will reassure them that you can thrive in a cohort-based programme.