Research ThemeMulti-agent Systems and Data IntelligenceUK Nationals OnlyAimTo research adaptive multiagent decision-making in complex multi-sensor (land and naval) platforms for practical applications.ObjectivesUnderstand requirements of decision making in complex, multi-sensor (land and naval) platforms.Design hierarchical multiagent reasoning and learning framework for adaptive decision-making in multi-sensor platforms.Implement and evaluate the framework and algorithms with simulated and real-world data and platforms.DescriptionThis thesis research project seeks to develop an AI framework that will enable reliable and efficient decision making by humans operating complex, multi-sensor (land and naval) platforms. This framework will support hierarchical multiagent reasoning and reinforcement learning at different levels of abstraction and over long time horizons, under open-world uncertainty and resource limitations. It will automatically identify and use relevant sensor streams (e.g., camera, LIDAR, GPS, acoustic, meteorological) and commonsense domain knowledge from human experts, presenting information such that it reduces the cognitive burden on the human crew. We will illustrate and evaluate our framework in simulation and on physical data streams from multi-sensor platforms of interest to our project partner. Further information Placements possible at Thales Glasgow to understand more about the work of the Digital Crew team, subject to appropriate clearances being in place.www.thalesgroup.com Closing date: Sat, 31/01/2026 - 12:00 Apply now Principal Supervisor Prof Mohan Sridharan Eligibility Degree 2(i) or better in a computing discipline such as Computer Science, Engineering, Mathematics, or Physics.UK national Funding Full funding is available for this position.
