Chat online with top universities at our virtual study fair - Tuesday 7th July (12pm - 5pm BST)

University of East Anglia Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
University of Reading Featured PhD Programmes

Computer vision and robot control for performing on-wing repair of aero-engines - (ENG - 1319)


Faculty of Engineering

Applications accepted all year round Competition Funded PhD Project (European/UK Students Only)

About the Project

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

Applicants are invited to undertake a 3 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 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 University of Nottingham we have developed robotic systems capable to navigate 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 (https://www.youtube.com/watch?v=tYOj0--0b0s) and long (https://mediaspace.nottingham.ac.uk/media/SeRArm/1_s5kneg0w) 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 (https://www.rolls-royce.com/media/press-releases/2018/17-07-2018-rr-demonstrates-the-future-%20of-engine-maintenance-with-robots.aspx).
This project builds on these research/industrial successes and proposes computer vison 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 algorithm
• 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 (to eligible students) comprises a tax-free stipend of £18,000 a year; tuition fees paid and a generous study package.

Eligibility: Only UK Higher Education “Home Fee” status applicants and EU residents satisfying the three-year residency requirement are eligible.

More than one position is available for this role.

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


Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to University of Nottingham will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field

Your enquiry has been emailed successfully



Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.



FindAPhD. Copyright 2005-2020
All rights reserved.