Award summary
100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates).
Overview
Artificial Intelligence (AI)-driven decision engines are increasingly embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids, industrial control systems, robotics, healthcare devices, and intelligent transport infrastructure. While significant research has focused on improving the performance, efficiency, and autonomy of such systems, their empirical security assessment remains underdeveloped, representing a growing and critical gap.
Recent studies have highlighted vulnerabilities in learning‑enabled CPS, demonstrating that small, carefully crafted perturbations can cause unsafe or malicious behaviours. However, much of the literature focuses either on theoretical attack construction or single‑system evaluations, rather than on systematic, reproducible, and comparative empirical assessments across classes of AI decision engines. This PhD project aims to address this gap through the development of a rigorous empirical framework for evaluating the security robustness, failure modes, and operational risks of AI decision engines in cyber‑physical environments.
Impact and Relevance
The proposed research directly addresses challenges faced by industries deploying AI‑enabled CPS in safety‑critical environments such as transportation, energy, and manufacturing. By providing empirical evidence rather than purely theoretical assurances, the project will supportregulators, system designers, and security engineers in making informed deployment decisions. The outcomes are expected to influence both academic research and industrial best practices for trustworthy AI in cyber‑physical systems.
Number of awards: 1
Start date: 21st September 2026
Award duration: 3.5 years
Sponsor: School of Computing
Supervisors:Dr Mujeeb Ahmed
Eligibility criteria
You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a relevant subject or subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are also essential requirements.
The studentship covers fees at the Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants are welcome but must cover the difference between Home and International fees.
Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills.
International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa and to study on this programme.
How to apply
You must apply through the University’sApply to Newcastle Portal
Once registered select‘Create a Postgraduate Application’.
Use ‘Course Search’ to identify your programme of study:
- Search for the ‘Course Title’ using the programme code:8050F
- Research Area: Computing Science
- Select‘PhD Computer Science (full time) - Computing Science' as the programme of study
You will then need to provide the following information in the ‘Further Questions’ section:
- A ‘Personal Statement’ (this is a mandatory field) - upload a document or write a statement directly in to the application form
- The studentship code COMP2177 in the ‘Studentship/Partnership Reference’ field
- When prompted for how you are providing your research proposal - select ‘Write Proposal’. You should then type in the title of the research project from this advert – and provide your own statement.
Contact details: Dr. Mujeeb Ahmed
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