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EPSRC CDT in Autonomous Intelligent Machines & Systems
Departments of Engineering and Computer Science, University of Oxford
10-12 fully funded 4-year studentships available.
Applications for September 2025 are now OPEN.
Deadlines: 12:00 midday UK time on Wednesday 29 January 2025
Autonomous systems powered by artificial intelligence will have a transformative impact on economy, industry and society as a whole. Our mission is to train cohorts with both theoretical, practical and systems skills in autonomous systems - comprising machine learning, robotics, sensor systems and verification- and a deep understanding of the cross-disciplinary requirements of these domains. Industrial partnerships have been and will continue to be at the heart of AIMS, shaping its training and ensuring the delivery of Oxford’s world-leading research in autonomous systems to a wide variety of sectors, including smart health, transport, finance, tracking of animals, energy and extreme environments.
During your time as a CDT student, there are opportunities to take up internships, outreach activities, personal development, teamwork, and collaboration with other CDTs in similar areas.
Our Research
The University of Oxford has a world-class reputation in the underpinning technologies of AIMS. Graduates have gone on to become entrepreneurs, taking leading roles in industry and commerce or continued their careers in academia.
Recognising the strength of our research and teaching in this area and the potential for future breakthroughs, the Departments of Engineering Science and Computer Science were awarded the Centre for Doctoral Training (CDT), which provides the focus for the development of these new technologies.
Key skills areas
What’s holding up the real-world impact of AI? Today, too often, innovation is overly-focussed on new component algorithms, particularly those from Machine Learning.
To realise impact on the world, however, such algorithms must be integrated with complete autonomous systems – in which there are far–too–few trained experts. AIMS imparts unified training in four important and intimately-connected components of such systems:
- Machine Learning, as a unifying core;
- Robotics & Vision;
- Cyber-Physical Systems (e.g. sensor networks); and
- Control & Verification.
How to Apply
Proven and potential academic excellence.
The requirements described below are specific to this course and apply only in the year of entry that is shown. You can use our interactive tool to help you evaluate whether your application is likely to be competitive.
Please be aware that any studentships that are linked to this course may have different or additional requirements and you should read any studentship information carefully before applying.
Degree-level qualifications
As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:
- a first-class or strong upper second-class undergraduate degree with honours
The qualification above should be achieved in one of the following subject areas or disciplines:
- computer science
- engineering
- physics
- mathematics
- statistics; or
- other related disciplines.
A previous master's qualification is not required.
The application process is explained on our website, If you have any queries, feel free to email: aims-cdt@robots.ox.ac.uk.
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