A Framework to Use Parallel Computing and Simulations for Net-Zero Built Environment

The UK was the first major economy that passed net-zero emission law. The reduction of carbon emissions in the construction industry mostly relied upon a ‘fabric first’ approach in addition to use renewables. However, decision making at various levels is complicated and embodied carbon of materials added even more complexity to the decision making processes.

This project aims to develop a customised framework to use parallel computing and simulations to minimise carbon emissions in the design and operation of the building.

The framework covers a broad spectrum from architectural detailing to overall design and material selection for the net zero target.

This investigation also aims to demonstrate how data-driven approaches in digital environments can simplify the decision making process and support the AEC industry to achieve net zero by 2050.

Applications should make it clear the project you are applying for and the name of the supervisors.

Academic qualifications

A first-class honours degree, or a distinction at master level, or equivalent achievements in Architecture, Architectural Engineering, Architectural Technology, Civil Engineering. 

English language requirement

If your first language is not English, comply with the University requirements for research degree programmes in terms of English language.

Application process

Prospective applicants are encouraged to contact the supervisor, Dr. Masoud Sajjadian ([email protected]) to discuss the content of the project and the fit with their qualifications and skills before preparing an application. 

The application must include: 

Research project outline of 2 pages (list of references excluded). The outline may provide details about

• Background and motivation, explaining the importance of the project, should be supported also by relevant literature. You can also discuss the applications you expect for the project results.
• Research questions or
• Methodology: types of data to be used, approach to data collection, and data analysis methods.
• List of references

The outline must be created solely by the applicant. Supervisors can only offer general discussions about the project idea without providing any additional support.

• Statement no longer than 1 page describing your motivations and fit with the project.
• Recent and complete curriculum vitae. The curriculum must include a declaration regarding the English language qualifications of the candidate.
• Supporting documents will have to be submitted by successful candidates.
• Two academic references (but if you have been out of education for more than three years, you may submit one academic and one professional reference), on the form can be downloaded here.

Applications can be submitted here.

Download a copy of the project details here.