This PhD project at Kingston University focuses on the development of advanced AI agents tailored for privacy and compliance analysis. The research aims to automate and streamline the evaluation of ethical and privacy concerns across diverse domains, integrating context-aware legal, ethical, and privacy models to ensure that AI-driven processes and decisions conform to established norms and regulations. The AI agents will proactively assess compliance, flag potential issues, and help organisations identify and mitigate risks in real time. A key aspect of the project is the enhancement of fairness, transparency, and explainability within AI systems. By embedding these principles into the evaluation process, the AI agents will provide clear, justifiable suggestions and decisions on privacy and ethics-related topics. This empowers organisations to operate in a socially responsible manner while safeguarding individual rights and privacy. The outcome will be a robust framework for ethical AI deployment, fostering trust and accountability in AI-driven environments. The research areas include Artificial Intelligence and Computer Vision, with a strong emphasis on ethical, legal, and privacy considerations in computational systems. This opportunity is part of the Graduate School studentships competition for October 2026 entry, offering funding for successful candidates. Applicants should have a strong background in Computer Science, Information Technology, Artificial Intelligence, or related fields, with relevant programming skills and an interest in privacy and compliance. International applicants may need to demonstrate English language proficiency. To apply, review the Graduate School Studentships information and the Faculty of Engineering, Computing and the Environment research webpage at Kingston University. The application deadline is March 4, 2026.

This PhD opportunity at Kingston University focuses on the development of adaptive and robust deep reinforcement learning algorithms for drone systems, with a particular emphasis on multi-agent robotics. As the complexity of robotic systems increases, there is a growing need for intelligent and cooperative decision-making among agents. The project aims to advance the state-of-the-art in artificial intelligence and robotics by designing novel approaches that enable drones to operate autonomously and collaboratively in dynamic environments. Supervised by Dr. Y Spyridis and Prof. V Argyriou from the Faculty of Engineering, Computing and the Environment, the research will explore cutting-edge techniques in deep reinforcement learning, multi-agent systems, and robust control. Students will have the opportunity to work with real-world drone platforms and simulation environments, contributing to both theoretical advancements and practical implementations. Applicants should possess a strong background in computer science, robotics, or artificial intelligence, with experience in machine learning and programming. The position does not currently offer funding, so candidates should be prepared to secure their own financial support or seek external scholarships. The application deadline is 4 March 2026, and interested candidates are encouraged to apply early and contact the supervisors for further details. This project is ideal for students passionate about autonomous systems, intelligent agents, and the future of robotics. Kingston University provides a vibrant research environment and access to state-of-the-art facilities, making it an excellent choice for pursuing advanced studies in this field.