PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Intelligent Sensing and Robot Control [...]

PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Intelligent Sensing and Robot Control for Performing On-Wing Inspection and Repair of Aero-Engines

Join to apply for the PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Intelligent Sensing and Robot Control for Performing On-Wing Inspection and Repair of Aero-Engines role at University of Nottingham

PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Intelligent Sensing and Robot Control for Performing On-Wing Inspection and Repair of Aero-Engines

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Join to apply for the PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Intelligent Sensing and Robot Control for Performing On-Wing Inspection and Repair of Aero-Engines role at University of Nottingham

Area

Engineering

Location

UK Other

Closing Date

Thursday 31 July 2025

Reference

ENG238

Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham.

Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at The Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology at the University of Nottingham.

This project is in relation to the technical needs of Rolls-Royce to develop smart and robotic solutions to enable in-situ/on-wing repair and maintenance of gas turbine engines.

At the Rolls-Royce UTC at the University of Nottingham, we have developed robotic systems capable of navigating into crammed/hazardous environments and perform inspection and active operations such as machining. This is driven by the need to complete repair tasks without disassembly of industrial installations. We developed a series of continuum robots in both short and long versions.

At the Rolls-Royce UTC, we are developing the next generation of continuum robots and other robotic solutions to perform tasks within restrictive environments.

This project builds on these research/industrial successes and proposes intelligent sensing and control solutions for automated robotic systems capable to be tele-operated using smart human-machine interfaces.

This is an exciting PhD project that has a combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics.

We are seeking talented candidates with:

First or upper-second class degree in Robotics/Computer Science/Cybernetics/Mechatronics/Mechanical or related scientific discipline

First rate analytical and numerical skills, with a well-rounded academic background

Demonstrated ability to develop precision mechatronics system and algorithms

Ability to develop kinematic and/or dynamic analysis of mechanical/robotic systems

Ability to implement control and kinematics with hardware-in-the–loop

Background with relevant packages, (MATLAB, ROS/ OpenCV/ python, LabVIEW/C languages)

A driven, professional and self-dependent work attitude is essential

Experience of working within industry will be an advantage

The ability to produce high quality presentations and written reports

This is an excellent opportunity to work on a novel robotic system with strong links to industrial applications and key skills and knowledge in preparation for a high-impact, high-technology research or industrial career.

Funding Notes

The scholarship on offer comprises a tax-free stipend of approximately £19,237 a year; tuition fees paid and a generous study package.

For PhD students wishing to pursue an academic career, the opportunity to participate in teaching activities will be sought.

Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to Dr Tianyi Zeng. Suitable applicants will be interviewed, and if successful, invited to make a formal application. Do not submit your application via the My Nottingham platform without having contacted our team first.

Please contact Dr Tianyi Zeng for further information.

Email: Tianyi.Zeng@nottingham.ac.uk

Due to the high volume of applications, we will only be contacting shortlisted candidates. Applications will be evaluated on a rolling basis until a suitable candidate is appointed.

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