Post Doctoral Research Associate in 3D Reconstruction and Modelling; CHS
Listed on 2026-01-14
-
Research/Development
Robotics, Research Scientist -
Engineering
Robotics, Research Scientist
Post Doctoral Research Associate – 3D Reconstruction and Modelling (CHS
279)
University of Lincoln is looking to recruit a Post Doctoral Research Associate with a research profile in 3D reconstruction and digital twin modelling to join our agri‑robotics research team.
OverviewThe University of Lincoln robotics team is working on a large project within the tomato breeding industry, aiming for the development of digital twins to optimise tomato production. The twin will feature realistic simulation of the glasshouse, tomato plants, environmental factors and automation systems, enabling optimisation of large‑scale automated glasshouse designs and the evaluation of future deployment of robotic solutions in horticulture.
The tool will be validated in the research farm at our Riseholme campus and tested with new varieties of automation‑friendly tomato varieties.
The key academic focus will be on automated asset and layout creation from 3D reconstruction techniques, structural‑functional plant models and environmental modelling.
- Multi‑view 3D reconstruction
- Computational geometry and 3D vision
- Procedural content generation
- Simulation technologies for robotics and automation
- Plant modelling
- Computer vision for robotics
- Modelling techniques for digital twins
Applicants will be expected to design, conduct and manage original research in the above subject areas, contribute to the wider activities of the agri‑robotics team, disseminate research findings in international conferences and journals, and may have opportunities to mentor and co‑supervise PhD students working on the project.
QualificationsApplicants should have or soon obtain a PhD in a relevant area, excellent mathematical and coding skills (C++/Python, ROS), and evidence of authorship of research outputs of international standing. Ability to work collaboratively as part of a team and strong written and spoken communication skills are essential.
Additional InformationOpportunities to engage in international collaboration within an ambitious team, work with state‑of‑the‑art robotic hardware and software, and access research farms equipped with industrial‑standard production facilities.
ContactPlease contact Prof. Grzegorz Cielniak at for more information about this exciting opportunity.
Closing Date and TermsClosing date: 20 Jan 2026. Department:
Research. Salary: £38,784 per annum. This post is fixed‑term until 31 December 2028 and full time at 1 FTE.
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