This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Resilience in a Changing World (FIBE2 CDT). The FIBE2 CDT aims to develop the next generation of infrastructure professionals who can create, shape and deliver the national vision for UK infrastructure, who will be equipped with a versatile and cross-disciplinary skill set to meet the most complex emerging challenges and contribute effectively to better infrastructure decision-making in the UK. Further details can be found at https://www.fibe-cdt.eng.cam.ac.uk/
The project is funded in collaboration with AVEVA, a Global Leader in Industrial Software that deliver solutions and expertise to optimize engineering, operations and performance supporting the evolution of the industries and BP, a company that provide heat, light and mobility to customers all over the world, with a purpose to reimagine energy for people and the planet and an ambition to be a net zero company by 2050 or sooner.
Project Details: There is a growing awareness that industrial facility owners are managing very expensive and complex facilities with data that is too little or too outdated but most of all not integrated. This leads to suboptimal facility design, construction and operation. The Digital Twin concept offers a theoretically viable solution to this problem. However, we currently do not know (i) how to structure an industrial facility Digital Twin or (ii) how to cost-effectively construct and maintain it. This project aims to address these two knowledge gaps.
The Digitising Industrial Facilities project will focus on geometry and visual data of large scale energy assets to maintain feasibility. In this project, the student will: a) collaborate with the FIBE2 Partners and the Centre for Digital Built Britain (CDBB) to conduct a user requirements analysis for the purpose of deriving a geometric Digital Twin data structure; b) develop a matching method for comparing captured data with the geometric digital twin to construct and maintain it; c) if time allows, develop a data fusion method for linking other forms of data into the geometric digital twin.
Informal enquires about this post can be made to Dr Ioannis Brilakis (firstname.lastname@example.org ).
For general enquiries, please email email@example.com.
Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in a Bachelors or Masters in any engineering or computer science. They should have some computing skills or experience, and very good English language skills.
The FIBE2 CDT studentships are fully-funded (fees and maintenance) for eligible students. Further details about eligibility and funding can be found at: https://epsrc.ukri.org/skills/students/help/eligibility/ https://www.postgraduate.study.cam.ac.uk/finance/fees https://www.cambridgetrust.org/scholarships/
To apply for this studentship, candidates must apply through the University's Graduate Admissions application portal not later than 3 December for a Michaelmas 2021 start. The portal is at: https://www.postgraduate.study.cam.ac.uk/courses/directory/egegpdfib and there is a £70 fee for PhD applications, with 'Digitising Industrial Facilities' quoted on the form and Dr Ioannis Brilakis identified as the potential supervisor.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.