University of Lincoln
Post-doctoral Research Associate in 2D/3D Perception for Robotic Harvesting (CHS344)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Research Associate in Robotic Perception and Computer Vision
The University of Lincoln is seeking a highly motivated Research Associate with expertise in robotic perception and computer vision to join our internationally recognised Agri-Robotics research team.
You will work on Vitrum, an ambitious Innovate UK-funded collaborative project developing a commercially deployable, fully dexterous robotic harvester for on-the-vine tomatoes. The project addresses one of the UK's most pressing challenges in horticulture—the shortage of skilled labour—by enabling automated harvesting of protected crops. The technology aims to support growers in expanding domestic glasshouse production, improving productivity, and reducing reliance on imported produce. Vitrum is led by Dogtooth Technologies in partnership with APS Produce and the University of Lincoln, bringing together expertise in advanced robotics, AI-driven perception, and commercial horticulture to validate robotic harvesting under real production conditions.
The Role
At The University Of Lincoln, Our Research Focuses On Advanced Perception And Scene Understanding For Robotic Harvesting. The Successful Candidate Will Contribute To The Development Of Novel Methods For
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- simultaneous 3D scene reconstruction and plant modelling
- multi-modal scene sensing and interpretation
- pre-harvest fruit quality assessment
- perception algorithms for autonomous crop harvesting
We are particularly interested in applicants with experience in one or more of the following areas:
- multi-view 3D reconstruction
- computational geometry and 3D vision
- plant or crop modelling
- computer vision for robotics
- multi-modal and multi-spectral sensing
About You
You should hold, or be close to completing, a PhD in robotics, computer vision, artificial intelligence, computer science, engineering, or another closely related discipline. You will have:
- excellent mathematical and analytical skills
- strong programming experience in C++ and Python
- experience with ROS or related robotic software frameworks
- the ability to conduct high-quality independent research while working effectively within a multidisciplinary team
- excellent written and verbal communication skills
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Evidence of publications in internationally recognised venues appropriate to your career stage will be highly desirable.
What We Offer
This position provides an outstanding opportunity to conduct cutting-edge research at the intersection of robotics, AI, and agriculture. You will:
- collaborate with leading academic and industrial partners
- work with state-of-the-art agricultural robots, advanced sensors, and AI systems
- have access to industrial-scale glasshouse facilities and research farms
- contribute to the development of technologies with clear commercial and societal impact
- help supervise and mentor PhD students within our growing agri-robotics research group
Appointment
This is a full-time, fixed-term position until 30 June 2028, with excellent opportunities for professional development and future research collaborations.
For informal enquiries, please contact Prof. Grzegorz Cielniak (gcielniak@lincoln.ac.uk).
Closing Date: 14 Aug 2026
Department: Research
Salary: £38,784 per annum
Please note, this post is fixed-term until 30 June 2028 and full-time at 1 FTE.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location