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At least 10 fully-funded PhD studentships available in Accountable, Responsible and Transparent AI at the University of Bath

At least 10 fully-funded PhD studentships available in Accountable, Responsible and Transparent AI at the University of Bath...

The UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI) at Bath is looking to recruit its second cohort to start in September 2020. At least 10 students will be fully funded for four years (stipend, fees and research support budget).

You'll be trained to be "a specialist with perspectives", with not only AI skills but a broader understanding of the engineering applications of AI and the ethical, policy and socio-economic consequences of intelligent technologies.

Key themes of the programme 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

As part of your training you'll work with a wide range of partners from companies, government and non-governmental organisations, and a network of internationally leading universities. You'll co-create research projects and will also experience different research environments on placement.

The first year of the programme, leading to an MRes, draws together AI and computer science, engineering and technology, and humanities and social sciences. You'll study specialist courses in your "home discipline" and introductory courses in the other two disciplines.

There is an increasing focus on research in years 2-4. You'll take short courses on topics such as research software, and develop specific skills for your research interests. You'll also take part in masterclasses, an annual AI conference and workshops, and go on placement and research visits.

Find out more about the programme

Applications are open now for September 2020 start

Please apply by 10th February to be considered for one of the fully-funded studentships.

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

You will also need either to have taken a mathematics course at university or have at least grade B in A level mathematics or international equivalent.

Find out more and apply

Funding is available for UK and EU applicants. In exceptional circumstances, it may be possible to find funding for excellent students from outside of the EU.

Self-funded applications are welcomed.

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