UCL Energy Institute in partnership with Bentley Systems are seeking applications for a fully funded Studentship on topic in Digital Characterisation of the Building Stock
This PhD studentship in Building Stock Modelling is funded by the Engineering and Physical Sciences Research Council (EPSRC) through the EPSRC-SFI Energy Resilience and the Built Environment (ERBE CDT) and co-funded by Bentley Systems.
Academic Supervisor: Prof Paul Ruyssevelt, UCL Energy Institute
Bentley Systems is the leading global provider of software solutions to engineers, architects, geospatial professionals, constructors, and owner-operators for the design, construction, and operations of infrastructure. Bentley Institute advances the infrastructure professions by encouraging and supporting Bentley users’ ambitions in going digital. Its initiatives attract and advance infrastructure professionals, and future professionals, through continuous learning about technology solutions and support for research, as well as project delivery and asset performance best practices.
The studentship will cover UK course fees and an enhanced tax-free stipend of approx. £18,000 per year for 4 years along with a substantial budget for research, travel, and centre activities.
4 years starting September 2020
About the studentship
The Building Stock Lab (BSL) at UCL Energy Institute has been developing a new kind of 3D model of the UK building stock. The model’s purpose is to assess energy use in buildings, and study the potential for energy and carbon mitigation measures. The techniques have been trialled successfully in London and several other cities.
This ‘3DStock’ model is built by bringing together a number of publicly available datasets to produce a full spatial model which contains 3D representations of all domestic and non-domestic buildings with associated floor space, use type and other attributes. 3DStock has been used for statistical analysis of building energy use, assessment of renewable energy potentials and analysis of district energy systems.
A version of 3DStock is being developed to create the London Building Stock Model (LBSM) for the Greater London Authority to be used in climate change mitigation planning in Greater London. Data from 3DStock is passed to the SimStock modelling platform which automatically generates dynamic simulation models to predict the energy and environmental performance of the building stock and comparisons are made to actual energy meter data.
Further development of key aspects of these models is underway in association with Bentley Systems, the leading global provider of software solutions for the design, construction, and operations of buildings and infrastructure. One studentship, focusing on ‘Simulating and Optimising the Performance of the Building Stock’, has already been allocated. A second studentship is available to work alongside the first and in collaboration with the Building Stock Lab.
Digital models of the building stock require increasing levels of detail to generate more accurate representations and produce performance predictions with higher levels of validity and utility. This PhD will focus on the application of a variety of techniques to process photography, LiDAR and other data sources to derive detailed building and built environment characteristics, materials and components to improve the veracity of current models.
The research will require candidates with advanced computer skills. Experience in one or more of the following would be an advantage: image processing, machine learning, dynamic energy simulation, visualisation and statistics.
Candidates should have a Master’s degree and / or a first or upper-second class Bachelor’s degree.
Applicants must also meet the minimum language requirements of UCL.
How to apply
Please submit a pre-application by email to the UCL ERBE Centre Manager (firstname.lastname@example.org) with Subject Reference: 4 year PhD in Digital Characterisation of the Building Stock
The application should include the following:
- A covering letter clearly stating which project you wish to apply for, your motivation, and your understanding of eligibility according to the EPSRC guidelines
- Names and addresses of two academic referees
- A copy of your degree certificate(s) and transcript(s) of degree(s)
Applicants should meet the EPSRC eligibility criteria.
Deadline for applications: Tuesday, 14 April 2020 23.59 (UK time)
Interview date: TBC
The interview panel will consists of the project’s academic supervisor at UCL, a representative of the industrial sponsor and a representative of the ERBE CDT Academic management.
Only shortlisted applicants will be invited for an interview.
Following the interview, the successful candidate will be invited to make a formal application to the UCL Research Degree programme. For further details about the admission process, please contact: email@example.com
For any further details regarding the project, contact Prof Paul Ruyssevelt on firstname.lastname@example.org.
You will be undertaking this project in UCL at the main (Bloomsbury) campus as part of the new EPSRC-SFI Centre for Doctoral Training in Energy Resilience and the Built Environment (ERBE CDT). This is a collaboration between UCL, Loughborough University and Marine and Renewable Energy Ireland (MaREI).