The PhD student will work closely with our industrial partners to develop innovative digital tools and methodologies for improving the resilience and sustainability of critical infrastructure.
These will include but not limited to the development of:
· Mathematical models to address the performance of critical functions and critical hazards;
· New uncertainty methods with quantifiable confidence;
Fast simulation tools based on machine learning and engineering-physics based automatic learning.
The students will be part of the Centre for Intelligent infrastructure (CII) and they will be part of a dynamic and multi-disciplinary team. Each student will receive multi-disciplinary supervision, with one supervisor from the CII and the other from Management School, or Security and Resilience Research Centre (SRRC) or mathematics and statistics (according to the student background and needs) plus one supervisor from the industry. The supervisory team will include at least one woman. Each student will spend between 3 to 6 months seconded to the industrial partner. Industrial partners include
· The National Manufacturing Institute Scotland (Digital Factory).
Our multidisciplinary team of experts work with companies to help them embrace the use of digital technologies. We offer solutions to help overcome roadblocks and inefficiencies, increase productivity, improve sustainability and push forward innovation within the manufacturing and engineering community. Opening in 2022, our new state of the art Digital Factory will be a specialist technology centre built to enable a fully connected digital manufacturing environment.
· CRA Risk Analysis is one of UK’s largest integrated human factors, safety and risk consultancies in the UK, supporting major infrastructure projects across the world. For over 20 years, we have been supporting operational leaders and technical directors working in critical national infrastructure sectors. Sectors we serve include
· Galliford Try is one of the UK's leading construction groups, working to improve the UK’s built environment and delivering lasting change for the communities we work in. Galliford Try has a proactive approach towards digital driven processes and technology for an entirely digitised approach to project delivery, improving safety, quality and collaboration, and driving down carbon
As a student you will be part of the Centre for Intelligent infrastructure (CII) and part of a dynamic and multi-disciplinary team. Each student will receive multi-disciplinary supervision, with one supervisor from the CII and the other from Management School, or Security and Resilience Research Centre (SRRC) or mathematics and statistics (according to the student background and needs) plus one supervisor from the industry. The supervisory team will include at least one woman. Each student will spend between 3 to 6 months seconded to the industrial partner.
PhD students will receive subject-specific training via dedicated workshops, webinars and lectures provided by industrial and academic supervisors in
- Uncertainty characterisation and quantification and Bayesian statistics
- Operational Research
- Artificial Intelligence and Machine Learning in Engineering
- Structural Health Monitoring
- Sustainable software and collaborative development
- Responsible for research and innovation course
An essential component of the training is the participation of Industrial case studies and hackathons designed to bring together academics and people from industry, business and NGOs to collaborate on real problems in workshops over one or a few days of intense interaction.
A training budget will also be provided to each individual PhD student.