Saber Fallah
1 year ago
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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). Includes tuition coverage and stipend. Access to world-class simulation and robotics facilities, and collaboration opportunities with DVSA and DfT.
Deadline
Aug 29, 2026
Country
United Kingdom
University
University of Surrey
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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). Includes tuition coverage and stipend. Access to world-class simulation and robotics facilities, and collaboration opportunities with DVSA and DfT.
What's required
Applicants should be UK Home students and have a strong background in AI, robotics, computer science, or a related field. Experience with safety assurance, simulation, or autonomous vehicles is desirable. No specific GPA or language requirements are mentioned.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor of Safe AI and Autonomy, Director of CAV-Lab at University of Surrey
United Kingdom
Research Interests
Automotive Engineering
Transportation Engineering
Autonomous Vehicle
State Estimation
Mobile Robotics
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
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