The Gatsby Unit PhD programme combines theoretical neuroscience and machine learning. Our mathematical approach to developing novel algorithms and tools to understand learning, perception and action
The PhD in Games Technologies is a research-intensive programme that combines independent doctoral research with structured training in advanced research methods and professional development. While
As one of the leading interdisciplinary research groups in the world, our mission is to make fully trustable autonomous vehicles come true. Using Artificial Intelligence, Computer Vision, and Machine
Research worldwide on the creation of intelligent machines is evolving rapidly. We are contributing to this development by exploring the integration of advances in deep learning, symbolic reasoning,
The PhD in Game Design offers a unique opportunity to develop innovative and impactful research within the expansive and continually growing field of digital games. Situated within the culturally
The EPSRC CDT in Robotics and AI for Net Zero (RAINZ) is run by the Universities of Manchester, Glasgow and Oxford. It trains the next generation of engineers in the robotics and AI (RAI)
The Intelligent Earth CDT is a doctoral degree, available in both full- and part-time modes, designed to equip a new generation of students with advanced AI skills to tackle some of the most pressing
Practice-Oriented Artificial Intelligence is about bridging the gap between complex problem domains such as those found in science and research, and Artificial Intelligence (AI) algorithms and
The Institute of Perception, Action and Behaviour (IPAB) focuses on how to link computational perception, representation, transformation and generation processes to external worlds, in theory and in
The Institute for Adaptive and Neural Computation (ANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems.
This PhD in Human-Inspired Artificial Intelligence will train the next generation of AI researchers, technologists, and leaders in the development of human-centred, human-compatible, responsible and