Research Fellow in Event Cameras for Quality Control

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The Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey seeks to recruit an outstanding postdoctoral researcher at pay level 4, in the fields of computer vision and machine learning. The post is for up to 3 years, as part of a larger EPSRC funded research project, involving multiple disciplines and an industry partner. Please see the press release for further details https://www.surrey.ac.uk/news/multimillion-pound-research-project-aims-advance-production-next-generation-sustainable-packaging

The project and role

Plastic packaging persists in the environment and is difficult to recycle. There is a growing demand for alternative materials to use as containers for liquids. Pulpex Ltd. (https://www.pulpex.com) are developing a new type of bottle made from cellulose fibres. The Pulpex bottle uses sustainable materials, can be recycled in existing paper waste-streams, can naturally degrade if not recycled, and has a carbon footprint 30% less than poly(ethylene terephthalate).

This research post is part of the EPSRC-funded SustaPack Prosperity Partnership project between the University of Surrey and Pulpex Ltd. As a research fellow, you will help to make the paper bottle a reality through your fundamental research on autonomous quality control. The coatings are needed for the bottles to hold liquids and to achieve a long shelf-life of the products contained within them. You will work as part of a team of three post-doctoral fellows and a PhD student at the University of Surrey along with engineers from Pulpex.

The project is well funded to allow training opportunities, travel to use national facilities, and conference attendance. There will be opportunities to visit collaborators’ sites and access national facilities. You will be provided with mentorship for personal and professional development to advance your future career. This project will be an excellent entry into the field of sustainable materials which are rapidly growing in use.

About you

Applicants should have demonstrated research expertise (via publication) in the fields of computer vision and machine learning. Prior experience with event cameras or other asynchronous vision systems is a significant advantage but not required, as is exposure to manufacturing environments and industrial quality control.

Applicants should also have good communication and interpersonal skills, and an interest in developing research supervision/management skills.

How to apply

Apply at jobs.surrey.ac.uk. Informal inquiries are welcome and should be directed to Dr Simon Hadfield (S.Hadfield@surrey.ac.uk). Interviews will be held in early May, with the post due to start in September 2025.

Closing Date: 23 Mar 2025

Area: Research & Teaching

Salary: £36,924 to £45,163