Saber Fallah
4 months ago
Autonomous Vehicles University of Surrey in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD studentship for UK Home students, supported by EPSRC and Department for Transport (DfT). Funding includes tuition fees and stipend. Secondment opportunities and access to world-class facilities are provided. No specific stipend amount is mentioned.
Deadline
Aug 29, 2026
Country
United Kingdom
University
University of Surrey
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Where to contact
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About this position
Funding details
Fully funded PhD studentship for UK Home students, supported by EPSRC and Department for Transport (DfT). Funding includes tuition fees and stipend. Secondment opportunities and access to world-class facilities are provided. No specific stipend amount is mentioned.
What's required
Applicants should be UK Home students and have a strong academic background in computer science, robotics, engineering, or a related field. Experience or interest in AI, autonomous vehicles, safety assurance, and explainable AI is desirable. Specific degree level or GPA requirements are not mentioned. No language test requirements are specified.
How to apply
Submit your application to the University of Surrey by 29 August 2025. For enquiries, contact Prof Saber Fallah at [email protected]. Review the project details and prepare relevant documents. Check the university website for formal application instructions.
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An exciting chance to join the University of Surrey on an EPSRC – Department for Transport (DfT), United Kingdom funded PhD studentship starting January 2026.
This project will pioneer Digital Commentary Driving (DCD) – a breakthrough framework to make autonomous vehicles more transparent, safe, and regulator-ready.
You will tackle challenges at the frontier of AI, robotics, and safety assurance, such as:
?? Developing AI-driven methods to generate and analyse Digital Commentary Driving data
?? Investigating how DCD can provide sufficient evidence for detecting near-misses and edge cases
?? Creating realistic near-miss scenarios to evaluate system trustworthiness
?? Advancing explainable and trusted AI approaches for AV certification
You’ll work with:
Prof Saber Fallah (Director, CAV-Lab, Safe AI & AVs)
Dr Nick Reed and Paul Spence (Distinguished expert in AV safety)
Colleagues from the Department for Transport (DfT)
What we offer:
?? Access to world-class simulation & robotics facilities
?? Collaboration with the DVSA, including a secondment opportunity
?? A chance to shape the future of AV certification and explainable AI
?? Application deadline: 29 Aug 2025
?? Enquiries: Prof Saber Fallah – [email protected]
# PhDOpportunity # SafeAI # AutonomousVehicles # ExplainableAI # Robotics # TrustedAI # EPSRC # DfT # PhDstudentship