We are offering a fully-funded PhD studentship to develop a novel 3D vision system for picking of various soft fruits as part of the larger RAS-Berry project. In particular, the project will consider strawberry production in polytunnels. A solution allowing for autonomous identification of fruits, assessment of their health and ripeness, and 3D structure represents a key component in realising fully autonomous robotic systems for berry production and the larger agriculture industry.
For this position, we seek an individual with a good technical background (computer science, engineering, mathematics, physics, etc). As this project will combine elements of hardware development, machine learning and computer vision (particularly 3D) experience in these areas will be highly beneficial.
RAS-Berry is a collaboration between the Norwegian University of Life Sciences (NMBU) and University of Lincoln, and is looking to employ a total of three postdocs and four PhD students. The successful candidates will have access to state-of-the art research farms that will be equipped with production facilities with industrial standard. The project also has access to a wide variety of agricultural robots with advanced sensors and tools. This equipment is already installed on the research farms and will be made available to the project. There is a strong focus on developing solutions that are robust in realistic scenarios, and extensive field testing is therefore required. In order to coordinate the work of everyone involved in the project, several workshops will be held both in Norway and the UK.
For more information about the position and how to apply, please see https://lcas.lincoln.ac.uk/wp/