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- Tasks: Join a cutting-edge R&D team to develop advanced identity verification tools for border security.
- Company: Dynamic university department leading in Data Science and Computational Science research.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on EU border security while advancing your research career.
- Qualifications: Experience in programming (Python) and a passion for innovative technology.
- Other info: Diverse and inclusive workplace with strong support for equality and flexible arrangements.
The predicted salary is between 30600 - 37396 £ per year.
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.
This is an exciting opportunity to work in R&D in a 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. A key aim of the project 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.
Responsibilities:- Research, develop, implement and evaluate technologies for passenger counting, behaviour analysis, traveller and vehicle risk analysis, and Extended Reality (XR) wearable devices, for vehicles on-the-move.
- Programming in relevant language (e.g. Python) and use of/integration with relevant libraries including APIs to external SDKs/modules.
- Write papers for publication in leading academic journals and other relevant media.
- Active role in project related activities such as data collection, integration and demonstration/trials and evaluation.
- Achievement of project objectives within tight time constraints, delivering software, writing of reports and academic publications and giving presentations of work undertaken within the project.
- Interaction with academic and commercial partners, including attendance at European project meetings and participation in teleconferences.
- To contribute to teaching and University promotion and recruitment initiatives (e.g. Open Days).
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.
£36,636 to £44,746 per annum.
Post-Doctoral Research Assistant (PDRA) - in Biometrics and Identity Management in Reading employer: University of Reading
Contact Detail:
University of Reading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-Doctoral Research Assistant (PDRA) - in Biometrics and Identity Management in Reading
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the project or department you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by diving deep into the project details. Familiarise yourself with the AutoBorder initiative and think about how your skills in programming and research can contribute. Show us you’re not just a fit on paper but also passionate about the work!
✨Tip Number 3
Practice your presentation skills! You might need to present your research ideas or past projects during the interview. Make sure you can communicate your thoughts clearly and confidently – we want to see your enthusiasm shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re serious about joining our team and contributing to groundbreaking research.
We think you need these skills to ace Post-Doctoral Research Assistant (PDRA) - in Biometrics and Identity Management in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Post-Doctoral Research Assistant. Highlight your relevant experience in biometrics, identity management, and any programming skills you have, especially in Python. We want to see how your background aligns with our exciting R&D projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to the AutoBorder project. Be sure to mention any specific experiences that relate to traveller identity management or border security.
Showcase Your Research Skills: Since this role involves research and development, make sure to highlight any previous research projects you've worked on. Include details about your methodologies, findings, and any publications. We love seeing candidates who are proactive in their academic pursuits!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity. Plus, it gives you a chance to explore more about our team and projects!
How to prepare for a job interview at University of Reading
✨Know Your Research
Make sure you’re well-versed in the latest developments in biometrics and identity management. Familiarise yourself with the AutoBorder project and its objectives, as well as the specific technologies mentioned in the job description. This will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience, particularly in Python and any relevant libraries or APIs. Bring examples of past projects where you’ve implemented similar technologies, and be ready to explain your thought process and problem-solving strategies. This will demonstrate your capability to contribute effectively to the team.
✨Prepare for Scenario Questions
Expect questions that assess how you would handle real-world challenges related to traveller identity management and risk analysis. Think about potential scenarios you might face in the role and how you would approach them. This will highlight your analytical skills and ability to work under pressure.
✨Engage with the Team's Vision
Research the Computational Vision Group and Prof. Ferryman’s work. Be ready to discuss how your research interests align with their goals and how you can contribute to their projects. Showing that you understand and are excited about their vision will set you apart from other candidates.
