Research Assistant/Associate – PhenoEye Project (Fixed Term) Part-time

PhenoEye Project Research Associate

Fixed-term: The funds for this post are available for 6 months in the first instance.

We are seeking a Research Associate to join the PhenoEye Project at the University of Cambridge's Department of Computer Science and Technology.

We seek a highly motivated Postdoctoral Research Associate to join a research lab working on developing AI-powered digital phenotyping technology for plant breeding. The project applies advanced computer vision and machine learning techniques to create high-fidelity digital twins of crops, enabling automated trait measurement. The technology is being developed in collaboration with leading international breeding companies and research institutions, with the goal of transforming how variety selection and crop monitoring are conducted in commercial plant breeding.

This position will involve conducting independent and collaborative research that advances the state of the art in AI-powered digital phenotyping technology for plant breeding.

The successful candidate will hold a PhD in Computer Science, Computer Vision, Machine Learning, or a closely related field, or equivalent experience. They will be self-motivated, solutions-oriented, and have a solid understanding in the relevant disciplines.

The role holder is expected to have a track record of research in a subset of the following topics:

• Computer Vision
• Strong programming skills, particularly in Python and deep learning frameworks
• 3D reconstruction techniques (highly desirable)
• Peer-reviewed publications in relevant venues

Applicants should contact Professor Cengiz Oztireli (aco41@cam.ac.uk) for further information about the position.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. Further information on the requirements for the role can be found in the further particulars.

In addition to the base salary stated above, the successful candidate for this post will receive an additional 2.5% supplement to their pay.

Department/location

Department of Computer Science and Technology

Salary

£34,610 – £35,608 £37,694 – £46,049

Reference

NR49646

Category

Research

Date published

8 May 2026

Closing date

18 May 2026