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.