This project is funded by:
In Built Environment, Digital Twins (DTs) research show how the digital imitation of buildings and infrastructures can be used to simulate performance, test operational scenarios and remotely control the physical asset across its life cycle. As a cyber-physical system, DTs link the digital representation of a physical asset with at least one-way flow of right-time data to the physical twin. The DTs powerful link between the physical and the digital models requires the use of advanced digital and computitional technologies.
This proposal aims to develop a Ditigal Twin architecture for Educational Buildings which integrates the primary educational processes and built assets. The focus will be on how to use DTs for process control and automated decision-making.
The system will create a library of digital services to be used by Staff and Academics and will provide the edcuation professionals and facilities managers with right-time information, enabling integrated operation of teaching/learing processes and assets.
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.
We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.
In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.
The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities.
Appointment will be made on merit.
This project is funded by:
Our fully funded PhD scholarships will cover tuition fees and provide a maintenance allowance of £19,237 (tbc) per annum for three years* (subject to satisfactory academic performance). A Research Training Support Grant (RTSG) of £900 per annum is also available.
These scholarships, funded via the Department for the Economy (DfE) and the Vice Chancellor’s Research Scholarships (VCRS), are open to applicants worldwide, regardless of residency or domicile.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
*Part time PhD scholarships may be available, based on 0.5 of the full time rate, and will require a six year registration period (individual project advertisements will note where part time options apply).
Due consideration should be given to financing your studies.
Relevant recent supervisors’ publications:
Forte, S, Mc Cann, J, Wallace, JG, Motawa, I, McKane, M, McChesney, I, Bond, RR & Martinez Carracedo, J (2023), A Digital-Twin Pipeline for the Optimisation of Marine Outfitting. In the Proceedings of 2023 IEEE International Conference on Digital Twin (Digital Twin 2023). IEEE, Portsmouth, United Kingdom, 28/08/23.
Britto B and Motawa I (2023). Framework for the implementation of a BIM-Based Data Analytics approach for Construction Adjudication within the UK. In the Proceedings of CitA BIM Gathering 2023 conference, Athlone, Ireland, September 18th – 20 th 2023 - Awarded Best Early Researcher Paper
Singharajwarapan S and Motawa I (2023). Case Architectural design parameters affecting patient’s psychological requirements in mental healthcare facilities. In the Proceedings of the 7th TICC International Conference 2023 “Toward Sustainable Development Goals: Digital Transformation and Beyond”, February 4-5th, 2023, Chiang Mai, Thailand
Motawa I, Salama A, and Thurairajah N (2023) “Project Report: Digital Built Environment and Data Science”, Council of Heads of Built Environment, http://chobe.org.uk/chobe-grants-2022/
Motawa, I. and Oladokun, M. (2019). Modeling the effect of occupants' behavior on household carbon emissions. Journal of Performance of Constructed Facilities (ASCE), Vol. 33 (2)
Motawa, I. (2017). Big data for smart operations and maintenance of buildings,In the Proceedings of the 15th International Operation & Maintenance conference (OMAINTEC 2017), 23-25th October 2017, Beirut, Lebanon.
Motawa, I and Almarshad, A (2015). Case-Based Reasoning and BIM systems for asset management, Journal of Built Environment Project and Asset Management (Special Issue: BIM for Built Asset Management), Vol. 5(3), pp. 233-247
Submission deadline
Monday 24 February 2025
04:00PM
Interview Date
April 2025
Preferred student start date
15 September 2025
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