UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing


Applications

We welcome applications by UK/Home and EU nationals. To qualify as a UK/Home applicant, prospective students must have been ordinarily resident in the UK for 3 years immediately prior to the start of the award, with no restrictions on how long they can remain in the UK. Residence in the UK that is solely for the purpose of education will only count towards these 3 years if the candidate is an EU national.

You apply with the university which best suits your research and other interests. The availability of projects depends on the expertise available at each university, see the Research page. For an informal discussion about your application, please find a suitable person on the Contact page.

Application deadline: April 30, 2019

Note that applications will be accepted until the positions are filled.

To apply, please follow the following instructions:

Aberystwyth

  1. Follow the instructions for Aberystwyth University.
  2. Confirm your application by notifiying the CDT via cdt-aimlac @ swansea.ac.uk. Indicate which University and project you have applied for.

Bangor

  1. Follow the instructions for Bangor University.
  2. Confirm your application by notifiying the CDT via cdt-aimlac @ swansea.ac.uk. Indicate which University and project you have applied for.

Bristol

  1. Follow the instructions for Bristol University.
  2. Confirm your application by notifiying the CDT via cdt-aimlac @ swansea.ac.uk. Indicate which University and project you have applied for.

Cardiff

  1. Apply for a PhD in the School that will host the PhD project(s) that you wish to be considered for:
  2. Confirm your application by notifying the CDT via cdt-aimlac@swansea.ac.uk. Indicate which University, School and project you have applied for.

Swansea

  1. Follow the instructions for Swansea University.

For general enquiries, you may also email cdt-aimlac @ swansea.ac.uk or contact the CDT Director Prof Gert Aarts directly.