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Turing Artificial Intelligence Acceleration Fellowship

The University's internal process to identify applicants for the Turing Artificial Intelligence Acceleration Fellowships.

Turing Artificial Intelligence Acceleration Fellowships
Turing Artificial Intelligence Acceleration Fellowships

About the Fellowship

EPSRC, on behalf of UKRI, is delivering this substantive phase of the Turing Artificial Intelligence (AI) Fellowships, working in partnership with The Alan Turing Institute, Department for Business, Energy and Industrial Strategy (BEIS) and the Office for Artificial Intelligence.

This programme aims to grow the UK’s capability and capacity in addressing the challenges in AI. The Fellowships are intended to accelerate the careers of high potential researchers towards a world leading position by the end of their Fellowship. Strong emphasis is on creativity of ideas, thought and approach to tackle the grand challenges of AI, and on enabling career mobility across sectors (including academia, industry, government, and the third sector) for the fellow and their team.

This mobility will aid in the creation of new, flexible collaborations and enable the two-way flow of knowledge and people across sectors. Fellows are expected to take full advantage of this stakeholder engagement in order to build mutually beneficial two-way relationships based on expertise, secondments, products and infrastructures.

It is not expected that fellows will commit 100% of their contracted time (FTE) to this activity throughout its duration. However, a minimum 50% commitment is expected, as this Fellowship should be the fellow’s ‘main identity’. With this in mind fellows should design an appropriate time commitment to deliver their research vision, which is expected to taper to a maximum of 50% FTE by the last year of the award to enable broader portfolio development.

The demand management process

Applications are limited to four per institution. To be selected as one of the University of Bath candidates, interested academics must submit the following information:

  • why your proposed research fits the call
  • what research you propose to carry out
  • how you will use this Fellowship to accelerate your career in this field

Send your application to Dr Rebecca Leithall, Research Development Manager, by Thursday 12 December 12:00 pm. Email: rml44@bath.ac.uk

Timeline

  • 12 December 12:00 pm: Internal deadline for submitting one page summary
  • 18 December: Notification of decisions to applicants
  • 4 February 2020: Deadline for University of Bath Host Organisation inclusivity statement
  • 18 February 2020: Deadline for Outline proposals to be submitted through JeS

Supporting documents

See the call document

Enquiries

If you have any questions, please contact us.