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Join the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI)

Train to be part of the next generation of specialists with expertise in AI, its applications and its implications.

Find out more about the CDT

Staff and current PhD students talk about the new PhD programme and the importance of studying artificial intelligence.

Why join ART-AI?

At least 10 funded studentships are available each year. Self-funded applications are also welcome.

You'll train to be "specialists with perspectives”, with AI skills as well as a broader understanding of the engineering applications of AI and the ethical, policy and socio-economic consequences of intelligent technologies.

Key themes include:

  • transparency and intelligibility of AI
  • risk and decision making with AI
  • safety and trust in human-machine systems
  • policy-making with and for AI
  • innovation in data-driven and classical AI
  • engineering applications of AI

Working with industry and other partners

'The development of Artificial Intelligence is an extremely exciting growth area and Rolls-Royce view it is as one of the key technologies to enable our digital strategy. It's crucial we understand the accountable, responsible and transparent elements of Artificial Intelligence, in order to ensure we can maximise the vast potential in the Defence and Aerospace sector.' - Gareth Hetheridge, Rolls Royce Senior IT Business Partner

As part of your training, you'll work with a wide range of partners from companies, government and non-governmental organisations, and international universities to co-create research projects by identifying issues that matter to them.

'This is excellent news for the University with whom we have partnered to realise the ART-AI CDT. We see huge implications for the future of industry resulting from developments in AI, all of which are built on the premise of trust. The CDT will build a community who'll have the skills to develop the AI solutions of the future whilst ensuring these systems are ethically sound, and capable of making decisions reliably and without bias.' - Professor Ian Risk, Chief Technology Officer, CFMS

You'll also go on placement and benefit from experiencing different research environments and work on real problems, with operational data and challenging deadlines.

'Like most exciting new developments in science and technology, AI has immense capacity for good -- but raises many unanswered questions about how it will affect people's relationships, their communities and the distribution of power within society. We're delighted to partner with the University of Bath and look forward to working with the partnership and the doctoral students it will recruit.' - Revd Dr Malcolm Brown, Director of Mission and Public Affairs for the Archbishops' Council, Church of England

Programme structure

You'll combine deep training in a specialism which builds on your background, capabilities and aims, with integrated training across the breadth of disciplines.

Robot sitting next to stack of books

Before the programme starts

If your application is successful, you'll be invited to come to Bath to meet your peer mentor, first year supervisor and the director of training. They will prepare a tailored pre-arrival training programme based around reading lists and online materials.

During the visit we will also co-create a first year study programme based on your academic background, experience and expertise, and research interests.

Year 1

You'll follow a Masters-level MRes programme that draws together AI and computer science, engineering and technology, and humanities and social sciences.


You'll choose specialist courses in your "home discipline" and introductory courses in the other two disciplines, alongside five compulsory units:

  • Humans and intelligent machines
  • Statistics
  • AI challenge
  • Interdisciplinary research preparation
  • Interdisciplinary thesis formulation report

The range of optional units to choose from includes:

  • Intelligent agents
  • Machine learning
  • Robotics engineering
  • System modelling and simulation
  • Principles and skills of social research
  • AI as a social and political practice

Years 2-4

In years 2-4, you will focus on your PhD research. You’ll take short courses on topics such as research software, and develop specific skills for your research interests.

Once a year, students will come together with academic staff and CDT partners in an AI challenge co-creation workshop to identify key challenges for AI.

You'll also participate in our masterclasses and annual ART-AI conference, building a wider network of peers and potential employers.

You'll normally go on a placement and a research visit to a project partner.

While working on your research, you'll collaborate with supervisors, peers and CDT partners.

As this is an integrated programme, graduates receive both the MRes and the PhD certificates together at the end of the course.

Entry requirements and eligibility

Find out about our entry requirements and scholarship eligibility.

Entry requirements

You should have a first class or strong second class bachelor’s honours degree or international equivalent in computer science, engineering, social sciences, policy research, psychology, or a related subject.

Normally, you will also need to have taken a mathematics course or a quantitative methods course at university or have at least grade B in A level maths or international equivalent.

Our funded scholarships cover fees at the Home rate and provide a stipend at the national minimum doctoral student rate. Ordinarily, to be eligible for Home fees, applicants must have the right to permanently reside in the UK and to have been ordinarily resident in the UK, EEA, or Switzerland for the 3 years immediately prior to the start of the studentship. In exceptional circumstances, it may be possible to fund the difference between Home and Overseas tuition fees for excellent international students.

English language requirements

  • IELTS: 6.5 overall with no less than 6.0 in all components
  • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
  • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

If your first language is not English but within the last 2 years you completed your degree in the UK, you may be exempt from our English language requirements.

If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

Application process

Applications for 2021 entry are open. Self-funded applications are accepted year-round. Applications for 2020 entry are now closed.

Application forms should be submitted online and be accompanied by a research proposal.

On the application form you will need to provide:

  • personal details
  • passport details if you need a Tier 4 visa
  • education details
  • details of your intended research and the names of your intended supervisors
  • names and contact details of two referees, including at least one from academia if you have been studying recently

You will need to upload:

  • a research proposal
  • a scan of your degree certificate(s)
  • a scan of your degree transcript(s)
  • an up-to-date CV

If you are an international student you should also provide:

  • an authorised translation of your degree certificate and transcript if they are not in English
  • your English language assessment certificate (if available).

Research proposals

Your research proposal may not necessarily be the research you will end up pursuing in the CDT, but gives the selection panel the opportunity to assess your suitability for the programme and your research potential. Research proposals should be about 1,000 words in length and include:

  • Aim and objectives: What are the central aims and research questions that will guide your research? Explain what questions you are trying to answer or which hypotheses you want to test. Prioritise one or two central questions from which you can derive secondary ones.
  • Rationale: Contextualise your aims and objectives in a broader field of study, identifying the main literature or authors that you are addressing.
  • Methodology: Explain how you are going to conduct your research; what information you would need, how you would collect it and how you are going to analyse it. This only needs to be indicative at the moment.
  • Timeline: Provide a summary of what you are planning to do and when.
  • Bibliography: Provide a short bibliography of key publications related to your research question.

Please feel free to:

Occasionally, we advertise specific projects on If you applying for a specific project, please make this clear in your application and research proposal.


Shortlisted candidates will be interviewed through Skype.

Contact us

If you have any questions about joining the CDT in ART-AI, please get in touch with us.