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Research Fellow in Autonomous Manufacturing of Robotics Systems

Are you enthusiastic and experienced in designing and building advanced manufacturing platforms such as 3D printers? Are you looking for a new and exciting challenge as part of a world class advanced manufacturing and robotics team?  Do you want to design and create autonomous manufacturing platforms that will change our lives? 

This is your opportunity to make a tangible impact within the field of manufacturing and robotics while collaborating with a team of brilliant minds in a dynamic research environment. In this role you will lead the development of a fully integrated manufacturing capability for the end-to-end autonomous fabrication of robotics and autonomous system by developing and integrating advances in hybrid manufacturing, machine control, inspection and automation.

You will work across two world-leading research groups, the advanced manufacturing laboratory and the Real Robotics laboratory, at the University of Leeds. Between these two research groups they have research projects totalling more than £30m. The Advanced Manufacturing laboratory comprises a team that specialise in constructing digital manufacturing systems and developing new fabrication processes housed within a dedicated 140m2 state-of-the-art research facility. The Real Robotics research includes robotic manufacturing and manufacturing of robots including world class robot fabrication facilities, and robotic systems to inspect and repair city infrastructure.  Current major externally funded projects include Pipebots, Trustworthy Autonomous System Verifiability Node, and the Advanced Machinery and Productivity Institute (the AMP Institute).

In this role you will take a leadership role in the design and implementation of Robots, for manufacturing advanced functional systems. As well as supporting project partners with hardware design, you will conduct pioneering work on innovative systems integration for robotics, and autonomous control strategies. Holding both a PhD (or have submitted your thesis before taking up the role), and a Bachelors or Masters degree in Electronic and Electrical Engineering, Mechatronics, Mechanical Engineering, Robotics or a related discipline, you will have experience in the design construction and testing of advanced hardware platforms for robotics ideally including aerial platforms. 

We are open to discussing flexible working arrangements.


To explore the post further or for any queries you may have, please contact: 

Professor Robert Kay, School of Mechanical Engineering, University of Leeds

Tel: +44 (0)113 343 2139 or email: R.W.Kay@leeds.ac.uk 


Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit: https://www.gov.uk/global-talent.


What we offer in return

  • 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
  • Generous pension scheme plus life assurance – the University contributes 14.5% of salary
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Engineering & Physical Sciences
School/Institute
School of Mechanical Engineering
Section
Institute of Design, Robotics and Optimisation
Category
Research
Grade
Grade 7
Salary
£39,105 to £46,485 per annum
Working Time
37.5 hours per week
Post Type
Full Time
Contract Type
Fixed Term (Up to 2 years - to complete specific time limited work)
Release Date
Friday 18 October 2024
Closing Date
Sunday 17 November 2024
Interview Date
To be confirmed
Reference
EPSME1178
Downloads
Candidate Brief (PDF)
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