This project, a collaboration between the University of Southampton and Thales UK, explores how future defence and security sensing systems can remain reliable in the presence of faults, manipulation, and intelligent adversaries. Modern sensing systems increasingly rely on large, distributed networks combining physical sensors, cyber data, and open-source intelligence, making them vulnerable to degradation, spoofing, misinformation, and coordinated attacks.
The research will develop an AI-driven trust scoring framework that continuously evaluates the reliability of individual sensors and identifies groups of sensors that may be colluding to influence system decisions. By combining anomaly detection, adversarial modelling, and data provenance analysis, the framework will assess sensor behaviour in real time and adapt to changing threat conditions.
The project will also investigate the use of game-theoretic techniques to anticipate and respond to evolving adversarial strategies. The proposed methods will be evaluated under realistic attack scenarios, including sensor tampering, spoofing, misinformation, and coordinated coalition attacks.
The outcome will be a scalable decision-support framework that improves the resilience, accuracy, and trustworthiness of distributed sensing systems, with applications in critical defence and security environments.
The successful candidate will have the exciting opportunity to undertake a three-month industrial placement with Thales UK cortAIx Labs based at their Research, Technology and Solution Innovation centre in Reading, gaining hands-on experience and exposure to real-world defence and security challenges.
Entry requirements
You must have a 1st class honours degree, or its international equivalent, in computer science, mathematics, engineering, or a closely related discipline.
Essential requirements: excellent programming skills (e.g. Python, C++, or similar); strong mathematical background, particularly in probability, statistics, and optimisation; solid knowledge of artificial intelligence and machine learning; keen interest in cyber security and adversarial systems.
Experience with game theory, adversarial modelling, or distributed and sensing systems is desirable.
Candidates should be highly motivated and capable of independent research.
This project is open to UK and Horizon Europe nationals, and as part of this role, you may be required to obtain UK Security Clearance.
Fees and funding
This is an IDLA Scholarship funded by Thales UK and EPSRC.
This project is sponsored by Thales UK, enabling an enhanced stipend (~£6,250 per year above the UKRI minimum). In addition, the student will benefit from a generous allowance for travel, equipment, and lab consumables.
How to apply
Apply now. You need to: choose programme type (Research), 2026/27, Faculty of Engineering and Physical Sciences; select Full time or Part time; search for programme PhD Computer Science (7089); add name of the supervisor in section 2 of the application.
Applications should include: research proposal; your CV (resumé); 2 academic references; degree transcripts and certificates to date; English language qualification (if applicable).
