Job title: Materials Engineering: Fully Funded EPSRC and British Board of Agrément PhD Scholarship: Image-based Digital Testing for Functional Construction Materials
Company:
Job description: Offer Description
Funding providers: EPSRC and British Board of Agrément
Subject areas: Modelling, Data, AI and Microscopic Imagining
Project start date:
- 1 January 2024 (Enrolment open from mid-December)
Project supervisors:
- Professor Chenfeng Li (First Supervisor,
) * Professor Richard Johnston (Co-Supervisor)
Aligned programme of study: PhD in Materials Engineering
Mode of study: Full-time
Project description:
Funded by EPSRC and in partnership with the British Board of Agrément, the UK’s major authority for providing product reassurance in the construction industry, this research project will develop new digital testing methods for functional constructional materials with an aim to bring a step-change to product assessment and certification, thereby benefiting the whole construction industry.
Functional construction products (e.g. insulation, damp and sound proofing materials, etc.) are the key elements affecting the safety, efficiency, resilience and comfort of assets, and they have been the primary focus of innovation over time. Traditionally, product assessment is based on accelerated proofing tests. For example, to assess the performance of a product against weathering, a test chamber is equipped with heaters, coolers, UV bulbs and water jets to mimic real-life weather, with the product exposed to magnified conditions for a period of 4-24 weeks. The traditional methods of testing is simple, but time-consuming and expensive, thereby not meeting the demand of rapid innovation and market launch.
To address the above real-world challenges, this project takes a novel approach by integrating modelling, data, AI and microscopic imagining technologies into product assessment. Microstructural material characterization based on imagining technologies, physics-based modelling, data mining, and AI are the key elements for the new approach.
The project student will work as part of a multidisciplinary research team, strongly supported by senior researchers in the team and closely supervised by academic and industrial supervisors. Through the project, the PhD student will receive comprehensive research training all aforementioned areas and develop a unique set of research skills in Engineering (material characterization and engineering simulation) and Computer Science (imaging processing and AI).
Requirements
Research Field Engineering Education Level Bachelor Degree or equivalent
Skills/Qualifications
Candidates must hold an Upper Second Class (2.1) honours degree in Engineering or similar relevant science discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency.
Specific Requirements
Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by .
Additional Information
Benefits
This scholarship covers the full cost of UK tuition fees and an annual stipend at UKRI rate (currently £18,622 for 2023/24) for four years.
Additional research expenses will also be available.
Eligibility criteria
Candidates must hold an Upper Second Class (2.1) honours degree in Engineering or similar relevant science discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency.
Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by .
Selection process
Please visit our website for more information.
Website for additional job details
Work Location(s)
Number of offers available 1 Company/Institute Swansea University Country United Kingdom State/Province Swansea City Swansea Postal Code SA2 8PP Street Singleton Park Geofield
Where to apply Website
Contact City
Swansea Website
Street
Singleton Park Postal Code
SA28PP
STATUS: EXPIRED
Expected salary: £18622 per year
Location: Swansea
Job date: Sun, 08 Oct 2023 04:07:50 GMT
