Secure and Trustworthy AI for Autonomous Vehicle Ecosystems

Laplace Expert Ltd; Southampton; Hybrid; GBP 18,000 - 21,000; Full time

Job summary

University of Southampton offers a fully funded PhD on AI-enhanced threat modelling and adaptive cyber-defence for autonomous vehicle ecosystems. The project analyses attack surfaces in AI-enabled perception and decision systems, and develops multidimensional threat models and adaptive detection mechanisms for safety-critical autonomous vehicles.

The PhD is in Secure and Trustworthy AI for Autonomous Vehicles, with UK and Horizon Europe eligibility and a fully funded stipend covering tuition and

Qualifications

• Applicants must have a UK first-class honours degree or international equivalent in cyber security, computer science, artificial intelligence, engineering or a closely related discipline.
• Technical skills include Python, C++, cybersecurity, threat modelling, machine learning and adversarial machine learning.

Education

UK first-class honours degree or international equivalent in cyber security, computer science, artificial intelligence, engineering or a closely related discipline

Job description

Secure and Trustworthy AI for Autonomous Vehicle Ecosystems

University of Southampton · Faculty of Engineering and Physical Sciences

England, United Kingdom

27 October 2026; exact cutoff time was not stated on the FindAPhD project page.

About This Opportunity

University of Southampton is offering a fully funded PhD on AI-enhanced threat modelling and adaptive cyber-defence for autonomous vehicle ecosystems.

The project analyses attack surfaces in AI-enabled perception and decision systems, including data poisoning, sensor manipulation and model interference. It develops multidimensional threat models, AI-driven threat intelligence and adaptive detection and mitigation mechanisms for safety-critical autonomous vehicles.

autonomous vehicles trustworthy AI cybersecurity threat modelling adversarial machine learning

Level PhD

Programme PhD Computer Science (7089)

Field Secure and Trustworthy AI for Autonomous Vehicles

Specialization Cybersecurity

Organization Type University

Funding & Compensation

Amount Fully Funded

Funding Type Stipend

Funding Status Fully Funded

Tuition Coverage Fully Covered

Stipend Yes

Requirements

Education

Applicants must have a UK first-class honours degree or international equivalent in cyber security, computer science, artificial intelligence, engineering or a closely related discipline.

Experience

Technical Skills Python C++ Cybersecurity Threat modelling Machine learning Adversarial machine learning Autonomous systems

General Skills Security reasoning Independent research

Languages

• English · Not Specified · required

The detailed project page states that the project is open to UK and Horizon Europe students only.