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Graduate

Autonomous Intelligent Machines and Systems (EPSRC CDT)

This doctoral research course develops theoretical, practical and systems skills in areas such as machine learning and robotics, alongside a deep understanding of the cross-disciplinary requirements of autonomous systems.

Full time

Open
Upcoming application deadline for 2027-28 entry:
12:00 midday UK time on Wednesday 27 January 2027

Expected length
4 years
Expected start date
October 2027
English language level
Higher level required

Part time

Open
Upcoming application deadline for 2027-28 entry:
12:00 midday UK time on Wednesday 27 January 2027

Expected length
8 years
Expected start date
October 2027
English language level
Higher level required

Application deadlines

12:00 midday UK time

Final application deadline for entry in 2027-28

Testing the robot arm Panda, designed for general manipulation tasks in workspaces shared with humans, Oxford Robotics Institute

About the course

This course provides a comprehensive, state-of-the-art view of autonomous intelligent systems, combining theoretical foundations, systems research, academic training and industry-initiated projects and thus mixing both practical and theoretical aspects of intelligent machines and systems.

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 and vision, cyber-physical systems (eg sensor systems), control 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 Autonomous Intelligent Machines and Systems (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.

Course structure

This section provides an overview of the course structure, while details of the individual course components are provided below.

The first year (or first two years if studying part-time) is oriented towards developing your knowledge base. You will need to take 16 courses during your first year, or over two years if studying part-time. Your day will comprise of lectures each morning with laboratory sessions each afternoon.

You will undertake two mini-projects, each lasting ten-twelve weeks. These will be precursors to your DPhil study, to hone your research skills and shape your main research area (if studying part-time, you will take one in your first year and the other in your second year).

Years two to four, or three to eight if studying part-time, see an increasing emphasis on individual research. You will be encouraged to develop projects based on your own research ideas.

To learn more about the research topics you’ll have the opportunity to explore, please refer to the Research areas section of this page.

Training will continue alongside your research project.

Research seminars are used to discuss papers, for rehearsing conference talks and for building links between groups. An annual workshop gives the opportunity to present research to students, industrial partners and invited researchers from other universities. Industrial collaborators are invited to share their latest problems and market trends and to discuss opportunities for future collaboration.

If studying full-time, you will spend one or two months over the second or third summer in an industrial lab to gain experience in industry-led projects and expanding your horizons by engaging in an AIMS topic that is not your main one. If studying part-time, it is recommended that you take on an internship between years four and six.

After the end of the internship, further interaction will be encouraged by inviting your industrial supervisors to join your group in Oxford for short periods.

You will also be encouraged to take demonstrations of your systems to companies, government departments, as well as schools. 

Core components

You will develop your knowledge-base through training, an internship and a workshop.

Research areas

You will have the opportunity to undertake research within the specialised themes of this course.

Course details

Entry requirements

For entry in 2027-28

Funding and costs

College preference

Before you apply

Completing your application

Contact details