PhD in Machine Learning

Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent behaviour. This PhD project explores how multimodal intelligence can be achieved using minimal, efficient representations under resource constraints. The project investigates Tiny Multimodal Learning, focusing on principled, lightweight methods for representing and combining multimodal information over time, grounded in machine learning, representation learning, and efficient algorithms. Location: Manchester. Expected start date: 1 October 2026. Duration: 3-year award.