University of East Anglia Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
University of Nottingham Featured PhD Programmes

Attenuating and controlling the environmental impact of buildings and districts through real-time life cycle assessment

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  • Full or part time
    Prof Y Rezgui
    Dr T Beach
    Dr I Petri
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

3.5 Years October 2020

Current LCA (Life Cycle Assessment) methods present important limitations and gaps, including:
• Lack of reasoning and decision support capabilities, such as exploring “what if” scenarios for the evaluation of alternative design options and devising adapted strategies, thus promoting active control of buildings and districts.
• Lack of alignment with domain models, e.g. BIM (Building Information Modelling), GIS (Geographical Information Systems), and LCA data structures.
• Lack of full support of temporal information, including sensor network data, to address maintenance, operation, deconstruction, disposal and recycling stages.
The proposed Doctoral research addresses the challenge of leveraging digital built environment resources, including Semantics, Internet of Things, and Artificial Intelligence. The aim is to deliver a new generation of life cycle assessment methods and tools that are model-based, continuously learn from real-time data, while informing effective operation and management strategies of buildings and districts.
The research will be conducted in a successful research group led by Prof Yacine Rezgui based in the school of Engineering.
The successful PhD candidate will be immersed in a supportive research environment and will acquire state-of-the-art knowledge in the semantic web of things domain, at the intersection of semantics (including BIM), Artificial Intelligence, and the Internet of Things.

Candidates should hold or expect to gain a first-class degree or a good 2.1 (or their equivalent) in Engineering or a related subject.

Desirable skills include: Energy modelling, machine learning and computer programming.

Applicants whose first language is not English will be required to demonstrate proficiency in the English language (IELTS 6.5 or equivalent)

Applicants should submit an application for postgraduate study via the Cardiff University webpages ( ) including;
• an upload of your CV
• a personal statement/covering letter
• two references (applicants are recommended to have a third academic referee, if the two academic referees are within the same department/school)
• Current academic transcripts
Applicants should select Doctor of Philosophy (Engineering), with a start date of October 2020.
In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided. In the funding section, please select "I will be applying for a scholarship / grant" and specify that you are applying for advertised funding, reference YR-SCH-2020

Funding Notes

Tuition fees at the home/EU rate (£4,407 in 2020/21) and an annual stipend equivalent to current Research Council rates (£15,285 stipend for academic year 2020/21), plus support for travel/conferences/consumables.

This opportunity is available to home, EU or intenational candidates.

International applicants must be able to self-fund the difference between the Home/EU and Overseas fees (£20,950 per annum in 2019/20) each year. Please indicate how you will cover this in your application.

Please contact Professor Yacine Rezgui, [Email Address Removed] to informally discuss this opportunity

FindAPhD. Copyright 2005-2020
All rights reserved.