Queen's University Belfast is offering highly competitive PhD opportunities in the School of Electronics, Electrical Engineering & Computer Science (EEECS), focusing on cutting-edge research in Trust-Explicit Systems for Traceability and Security in Agentic AI, and On-Chain Zero-Trust for Disaggregated Networks. These projects are supervised by Dr Vishal Sharma, Reader at Queen's University Belfast, and are ideal for candidates interested in the intersection of artificial intelligence, cybersecurity, distributed systems, and advanced network architectures.

Research Areas: The first project explores trust-explicit systems that enable verifiable trust requirements and high provenance in agentic AI, supporting traceability, risk assessment, and security evaluation. The second project investigates the integration of Zero Trust Architecture (ZTA) with on-chain methodologies to secure disaggregated networks, focusing on continuous authentication, micro-segmentation, and regulatory compliance using distributed ledger technologies.

Academic Environment: The EEECS School at Queen's University Belfast is renowned for its research in computer science, AI, cybersecurity, and related fields. Students will join a vibrant doctoral community, benefit from world-class facilities, and have opportunities for industry collaboration and professional development. The school is recognized for its research excellence and strong links with local and international industry partners.

Eligibility and Requirements: Applicants should hold at least an Upper Second Class Honours degree (or equivalent) in a relevant discipline such as computer science or information technology. Strong academic performance, research capability, and technical skills in AI, security, and distributed systems are essential. Home DfE Studentship eligibility requires UK/ROI nationality or appropriate residency status. Previous PhD study may affect funding eligibility. International candidates may apply, but funding is limited and highly competitive.

Funding: Home DfE Studentships cover tuition fees and a maintenance stipend of approximately £20,780 per annum for eligible candidates. Funding is allocated on a competitive basis across projects. A limited number of international awards may be available but are not guaranteed.

Application Process: Interested candidates should review the detailed project descriptions and application procedures at the provided links. Ensure all eligibility criteria are met and submit the application online before the deadline of 16 February 2026. For further information, contact Dr Vishal Sharma at [email protected].

Keywords: Trust-Explicit Systems, Agentic AI, Zero-Trust Architecture, Distributed Systems, Cybersecurity, Artificial Intelligence, Computer Science, Security, Traceability, On-Chain Security.