Research course

Autonomous maintenance of infrastructure – implications for infrastructure regulation and operation

Institution
University of Leeds · School of Civil Engineering
Qualifications
PhD

Entry requirements

Applicants must have a minimum of a UK upper second class honours degree (2.1), or equivalent, in mathematics, physics, chemical engineering, mechanical engineering. If English is not the applicant’s first language, they must provide evidence that you meet the University’s minimum English Language requirements.

Months of entry

October

Course content

Autonomous maintenance of infrastructure, using robotics to detect and repair early-stage defects in city infrastructure, will have wide-reaching consequences for the way that infrastructure is operated and regulated. This ranges from the financial models used to plan asset management and regulate infrastructure expenditure to longer term planning of new infrastructure systems. This project will explore the implications of autonomous maintenance for the highly regulated infrastructure sectors of transport and energy. It will identify how regulatory and business systems and processes might need to adapt to enable this new paradigm of asset management.

This scholarship would be linked to the iBuild centre on infrastructure business model innovation (KR and PP involved) and the new centre on Balancing the Impact of City Infrastructure Engineering on Natural systems using Robots (PP is PI and KR is familiar with project having identified this as a gap when reviewing grant proposal).

Note Katy Roelich holds a UAF split between School of Civil Engineering and School of Earth and Environment. This Scholarship would support both an early career researcher and cross-faculty working.

Keywords: Infrastructure, asset management, robotics, regulation, business models

Fees and funding

This scholarship is part of Leeds Anniversary Research Scholarship scheme.

This scholarship is fully funded covering fees and a maintenance of £14,254 in 2016/17

Qualification and course duration

PhD

full time
48 months

Course contact details

Name
Dr Katy Roelich
Email
m.fairwaether@leeds.ac.uk