Research ThemeMulti-Agent systems and Data IntelligenceAimDevelop a framework to integrate and enhance multi-agent sensor data with prior geospatial intelligence to provide robust situational awareness via personalised (AR/VR/Speech UI) and overview (maps, data feeds) interfaces.ObjectivesDevelop a decentralised edge computing architecture for geospatial data processing, able to accommodate rapid updates (e.g. sensors), for delivering dynamic situational awareness.Investigate personalised HCI for different operator roles (e.g. VR/AR interfaces; speech-first hands-free; tangible; egocentric vs allocentric frames of reference).Assess role-specific HCI adaptations via AI Agents (i.e. the ability for any user to use AI to design their own interface to the system)Integrate and examine AI techniques for data validation and correctionDescriptionThis research seeks to develop a decentralised edge computing solution to enhance situational awareness in multi-agent systems by integrating live sensor data with geospatial intelligence and real-time modelling.Remote sensors deployed on robots and in the environment—capturing location, video, audio, and IMU data—will be fused with existing datasets such as LiDAR point clouds, digital surface models to provide personalized situational awareness.A modular, extensible API will support analyses such as real-time visibility modelling for covert or signal-optimized route planning. AI-driven natural language queries will allow users to interact with the system.Interfaces will include AR, tablets, and hands-free operation via speech recognition, augmented with LLM-based semantic processing and spatial audio. A key research focus will be integrating AI agents to allow end users—without programming skills—to easily design custom interfaces suited to their needs at any time. Closing date:  Sat, 31/01/2026 - 23:59 Apply now Principal Supervisor Dr Phil Bartie Assistant Supervisor Prof Oliver Lemon Eligibility UK 2:1. in computer science / computer systems or MSc in geographical information science.Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants. Funding Home fee rate and stipend available for this position.