James Ferryman
2 weeks ago
Postdoctoral Researcher in Behaviour Analysis, Anomaly Detection, and XR for Vehicle Border Management (AutoBorder Project) University of Reading in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is funded by the EC under the HORIZON Research and Innovation Actions (RIA) scheme as part of the AutoBorder project. The University of Reading receives €409,920.00 for its participation. Specific details on salary, stipend, or additional benefits are not provided in the post and should be checked in the official job specification.
Country
United Kingdom
University
University of Reading

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About this position
The University of Reading, under the leadership of Professor James Ferryman, is seeking a postdoctoral researcher to join the EC-funded AutoBorder project. This innovative project aims to develop and deploy advanced technologies for secure and efficient vehicle border management across Europe. The research will focus on behaviour analysis, anomaly detection, traveller and vehicle risk analysis, and the use of Extended Reality (XR) wearable devices to facilitate expedited vehicle crossings at land borders.
AutoBorder leverages cutting-edge solutions such as advanced biometrics, in-car sensors integrated with Infotainment and Control Electronics (ICE) systems, and Digital Travel Credentials (DTCs) with pre-registration systems. The project is designed to streamline border-crossing processes, enhance passenger security through identity monitoring, real-time alerts for unauthorized access, and predictive analytics for threat detection. Compliance with GDPR, the AI Act, EU travel regulations, and ethical standards is a core priority, with a dedicated legal partner ensuring all solutions meet regulatory requirements.
The project involves pilot studies at two major EU Border Control Points: UK-France and Moldova-Romania. It brings together leading experts in biometrics, security, automotive technology, and data analytics. The University of Reading is a key participant, receiving significant funding to support research activities. The successful candidate will work in a multidisciplinary environment, collaborating with international partners and contributing to the development and validation of innovative border management technologies.
Applicants should have a PhD in computer science, electrical engineering, information technology, or a related field, with demonstrated expertise in behaviour analysis, anomaly detection, risk analysis, or XR devices. Experience with border management systems, biometrics, or in-car sensor technologies is highly desirable. The position is fully funded through the HORIZON Research and Innovation Actions (RIA) scheme, with further details on salary and benefits available in the official job specification.
To apply, candidates should review the job specification and application process at the provided link. This is an excellent opportunity for researchers interested in security analytics, AI ethics, and the application of advanced technologies to real-world challenges in border management.
Funding details
The position is funded by the EC under the HORIZON Research and Innovation Actions (RIA) scheme as part of the AutoBorder project. The University of Reading receives €409,920.00 for its participation. Specific details on salary, stipend, or additional benefits are not provided in the post and should be checked in the official job specification.
What's required
Applicants should have a strong interest and relevant experience in behaviour analysis, anomaly detection, traveller and vehicle risk analysis, and Extended Reality (XR) wearable devices. A PhD in a relevant field such as computer science, electrical engineering, or information technology is expected. Experience with advanced technologies for border management, biometrics, or in-car sensor systems is desirable. Additional requirements may be specified in the official job specification.
How to apply
Visit the provided job specification and application process link for further details: https://lnkd.in/emeKESqt. Review the requirements and submit your application as instructed on the University of Reading or project website. For more information, refer to the project page: https://lnkd.in/ephBREAF.
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