Qualification Type: | PhD |
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Location: | Manchester |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | £20,780 - please see advert |
Hours: | Full Time |
Placed On: | 7th May 2025 |
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Closes: | 11th July 2025 |
This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero Centre (RAINZ) which is a partnership between three of the UKs leading universities (The University of Manchester, University of Glasgow and University of Oxford).
Robotics and Autonomous Systems (RAS) is an essential enabling technology for the Net Zero transition in the UK’s energy sector. However, significant technological and cultural barriers are limiting its effectiveness. Overcoming these barriers is a key target of this CDT. The focus of the CDT’s research projects will be how RAS can be used for the inspection, maintenance, and repair of new infrastructure in renewables (wind, solar, geothermal, tidal, hydrogen) and nuclear (fission and fusion), and to support the decarbonization of existing maintenance and decommissioning of assets.
Year 1: You will spend the first year of the CDT at The University of Manchester undertaking taught MSc studies and research training.
Years 2 – 4: You will move to your host institute (University of Manchester, University of Glasgow, or University of Oxford) to undertake your PhD research.
About this Project
Project Title: Whole-body loco-manipulation for robotic inspection of energy industry equipment
Supervisors: Dr Bruno Adorno & Dr Murilo Marinho
Year 1 MSc Course: MSc Robotics
Year 2 – 4 PhD Location: The University of Manchester
Research Abstract: Condition monitoring of industrial equipment, such as turbomachinery, is a complex task that requires accurate and efficient data collection but is often hindered by the equipment's size, complexity, and harsh operating conditions. This PhD research addresses two critical challenges in this domain: (1) optimizing sensor movement for inspecting large and complex equipment using robots and manipulators, and (2) ensuring high-quality data collection despite the harsh operating conditions.
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 or Mathematics with evidence of programming experience.
Equality, diversity and inclusion is fundamental to the success of RAINZ CDT and is at the heart of all of our activities. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, neurodiversity, ethnicity, gender, gender expression, sexual orientation, and transgender status. We also support applications from mature students who are returning from a career break.
Applications should be made through the RAINZ CDT website, where you can also find further information about the CDT. Informal enquiries can be made by emailing rainz@manchester.ac.uk.
Funding notes: Funding for this RAINZ CDT studentship is provided by the EPSRC and an industrial partner (Baker Hughes). The successful candidate will receive an annual stipend at the UKRI rate (£20,780 for 2025/26) and tuition will be paid at the home rate.
This project is subject to funding being confirmed by the industry partner.
Application Deadline: 17:00, 11th July 2025.
Start Date: 22nd September 2025
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