Computer vision and robot control for performing on-wing repair of aero-engines - (ENG - 1398X1)

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

Please apply here

https://www.nottingham.ac.uk/pgstudy/how-to-apply/apply-online.aspx

When applying for this studentship, please include the reference number (beginning ENG and supervisors name) within the personal statement section of the application. This will help in ensuring your application is sent directly to the academic advertising the studentship.