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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.

Who should apply?

We are looking for a range of individuals with different experiences, perspectives, and backgrounds who are willing to share their understanding and learn collaboratively to collectively become specialists with perspective.

We are looking for highly motivated students with a demonstrable interest in their research topic and in working in an interdisciplinary environment. Not only are we inclusive of all types of people, we are actively searching for diversity to build a more comprehensive basis from which to generate positive innovation in AI. To achieve this, we need to consider diversity beyond academic achievements.

We recruit on the basis of potential: We look beyond the name of a university or academic achievements to assess individual candidates on what they could bring to the melting pot of ideas and how the centre can nourish and cultivate that potential.

If this sounds like something you want to be a part of, then apply here!

Programme structure

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.

Robot sitting next to stack of books

You’ll combine deep training in a specialism which builds on your background, capabilities and aims, with integrated training across the breadth of disciplines. The course is designed around a 4-year full-time programme of study, starting in late September/early October each year, where students progress together as a cohort. Applicants are expected to be available for full-time study although a part-time option is available at the discretion of the CDT directors, depending on the needs of the student and the project.

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 the MRes in Accountable, Responsible and Transparent Artificial Intelligence programme that draws together AI and computer science, engineering and technology, and humanities and social sciences. The taught elements of the MRes year include units that are assessed using coursework and examinations (both oral and written). Students are required to reach a pass mark of 60% overall in order to progress onto the research phase.


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’ll focus on your PhD research, under the guidance of a lead academic supervisor and at least one other academic. You’ll take short courses on topics such as research software, and develop specific skills for your research interests.

Your progress will be monitored by your supervisors and the CDT Director of Training. Students are expected to submit progress reports every 6 months. At the end of year 2, students should submit written work (a report and a data management plan) and sit an oral assessment to be confirmed on the programme.

During the research phase, students will come together with academic staff and CDT partners in masterclasses and conferences building a wider network of peers and potential employers. You will have opportunities to go on a placement and research visits to a project partner.

The final stage of the PhD is submission of a substantial thesis and an oral or viva voce examination, in which students are required to defend the thesis to a Board of Examiners.

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.


UKRI-funded ART-AI CDT studentships are available on a competition basis for up to 4 years. Funding will cover tuition fees and maintenance at the national doctoral stipend rate (£15,609 per annum in 2021/22, increased annually in line with the GDP deflator). We will offer at least ten studentships for 2022 entry, up to three of which can be awarded to international students. To apply for a funded studentship, on your application form please select ‘Yes’ when asked, ‘Do you wish to be considered for a University Scholarship?’

We also welcome applications from candidates who can source their own funding. Useful links for self-funders include Find funding for doctoral research and Paying your tuition fees.

English language requirements

  • IELTS: 6.5 overall with no less than 6.0 in all components or equivalent.
  • 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 2022 entry are open. Applicants seeking a funded place are advised to apply early as places are competitive and offers are made from January onwards. Self-funded applications are accepted year-round.

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 visa
  • education details
  • personal statement, with details of your motivation for applying, your research interests and how you might enhance our equality, diversity and inclusion
  • 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 via Zoom.

Contact us

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