PhD Studentship: Adaptive Human-Robot Teams for Mobile Inspection & Maintenance Across Dynamic Environments (RAINZ CDT)

The EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero (RAINZ CDT) is a collaborative initiative between the University of Oxford, University of Manchester, and University of Glasgow, aiming to advance robotics and autonomous systems (RAS) for the UK’s energy sector transition to Net Zero. This PhD studentship, based at the University of Oxford’s Department of Engineering Science, is part of a cohort tackling the challenge of long-term autonomous monitoring and maintenance of assets in dynamic environments. The project focuses on adaptive human-robot teams for mobile inspection and maintenance (I&M) tasks. Unlike traditional static deployments, this research investigates how operator-mobile robot pairs can repeatedly perform similar I&M tasks across sites with varying layouts, constraints, and uncertainties. Key research areas include dynamic task and action allocation between human and robot, strategies for managing environmental uncertainty, and the design of intuitive interfaces for instruction and feedback. The ultimate goal is to enable scalable, contractor-style service delivery models powered by autonomous robotics, supporting the decarbonisation of the energy sector. RAINZ CDT students benefit from a unique 1+3 programme structure. The first year is spent at the University of Manchester, undertaking taught MSc studies in Artificial Intelligence and bespoke CDT training. Progression to the PhD component requires an average of 65% or higher in MSc assessments. Years 2–4 are dedicated to PhD research at the host institution, complemented by cohort-wide training in teamwork, sustainability, EDIA (Equality, Diversity, Inclusion, Accessibility), industrial engagement, and commercialisation. The CDT fosters a multidisciplinary approach, integrating research through annual sprints and industry co-created challenges. Applicants should have a First or strong Upper Second-class honours degree (2:1 with 65% average) or international equivalent in Engineering, Computer Science, Physics, Mathematics, or a related discipline. Strong programming and discrete mathematics skills are essential, along with experience or interest in computational models of autonomous systems (e.g., Markov decision processes, logic, graphs). Eligibility is restricted to British Nationals and EU Nationals with Settled status. The CDT values diversity and supports flexible working arrangements to promote work-life balance. Funding for this studentship is provided by EPSRC and the Manufacturing Technology Centre (MTC), subject to confirmation by the industry partner. Successful applicants receive a 4-year studentship covering tuition fees at the Home student rate, a tax-free stipend set at the UKRI minimum rate (£20,780 for 2025/26, increasing annually), and a Research Training and Support Grant for travel and project consumables. Additional funding supports CDT activities, specialised equipment, and accessibility needs. Eligible Home applicants receive a £10,000 per year enhancement to their stipend through the UK Government’s TechFirst skills programme. Limited studentships may be available for international applicants, with possible tuition fee waivers discussed at interview. Applications must be submitted via the RAINZ CDT website by 5:00 pm, Friday 13 February 2026. Informal enquiries can be directed to [email protected]. The programme starts on Monday 21 September 2026. For further details, visit the project page or contact the CDT directly.