| Location: | Reading |
|---|---|
| Salary: | £36,636 to £44,746 per annum |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 14th January 2026 |
|---|---|
| Closes: | 14th February 2026 |
| Job Ref: | SRF52706 |
Full time, fixed term contract (ending 31/8/2028)
The closing date for applications is 23.59 14/2/2026
Interview date - week commencing 2nd March 2026
By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK Visas and Immigration Website.
This is an exciting opportunity to work in R&D in ground-breaking EU border security project.
The Department of Computer Science within the School of Mathematical, Physical and Computational Sciences (SMPCS) conducts world leading research in priority research areas of Data Science and Computational Science. Within the department, the Computational Vision Group (CVG), led by Prof. Ferryman, addresses the computational issues of perception and reasoning in relation to image interpretation.
Prof. Ferryman is Principal Investigator in the EC project AutoBorder – https://cordis.europa.eu/project/id/101225829 – funded under the EC Civil security for society workprogramme (border security and external security). A key aim of AutoBorder is to build and deploy advanced identity verification tools for border security involving vehicles on-the-move.
The main role of the PDRA is to undertake research and development in traveller identity management.
Specifically, the main duties and responsibilities:
The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.
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