Research Associate

Lincoln, United Kingdom
£33,797 per annum
Monday, 22 February 2021
End of advertisement period
Friday, 19 March 2021
Contract Type
Fixed Term
Full Time

Lincoln Institute for Agri-Food Technology

Location:  Lincoln
Salary:   From £33,797 per annum
This is full time, fixed term post of 1 FTE for 12 months from start date
Closing Date:   Friday 19 March 2021
Interview Date:   Wednesday 07 April 2021
Reference:  COS812

The University of Lincoln is seeking to appoint a new Research Associate to join an Innovate UK project, called FASTPICK. This project will develop a state-of-the-art active and dynamic vision system that uses multiple RGB-D cameras to perform visual serving to create a 3D scene of complex clusters and to identify critical picking points for the gripper. This is a unique opportunity to continue the past works at the University of Lincoln on Selective Harvesting of Strawberry and to test our developed technology in semi-commercial workspaces at the Riseholme campus of the University of Lincoln.  We will use a state-of-the-art mobile robot developed jointly by Norway University of Science, Saga Robotics and the University of Lincoln as well as a few manipulators, e.g. Panda robot manufactured by Franka Emika and Scara arm developed by Saga Robotics.  This project is part of an Innovate UK project in collaboration with Saga Robotics to deliver a reliable solution for strawberry picking.  We are looking to recruit a postdoctoral Research Associate with relevant experience and/or a strong interest/background in the following research areas:  

  1. Robot Vision (working with RGB-D sensors for dynamic 3-D scene reconstruction),
  2. Robot grasping and manipulation,
  3. motion planning,
  4. system integration, including ROS.   

The Research Associate is responsible for the development of the system, demonstrating the system on semi-commercial strawberry polytunnel and conducting research on the project, as directed by the Principal Investigator, and is expected to operate with a significant degree of autonomy. The post holder may be required to help supervise the work of more junior researchers. Applicants should have or expect to soon obtain, a PhD in a relevant area (e.g. Robotic Vision, Computer vision with expertise in Point-Cloud processing, Robotic Grasping/Manipulation). You must have excellent mathematical and coding skills (C++/Python, ROS).  

The Research Fellowship offers the opportunity to engage in national collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals. This post will be fixed term for one year where the extension will be subject to securing further funding. The successful candidate will contribute to the University’s ambition to achieve international recognition as a research-intensive institution and will be expected to design, conduct and manage original research in the subject areas above as well contribute to the wider activities of L-CAS. Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to teach and supervise postgraduate students, including our MSc programme in Robotics and Autonomous Systems, will also be available to outstanding candidates. Informal enquiries about the post can be made to Dr Amir Ghalamzan(