Cohort Based Training

A collaborative approach

Cohort-based doctoral training differs from a standard PhD in that you will take part in cohort-wide training modules as part of a more structured programme, rather than training in specific research-based skills as an individual or as part of a small research group on a traditional PhD.  CDT students are trained in cohorts of varying sizes.

The UKRI CDT in Natural Language Processing training programme has several advantages over a traditional PhD programme.  The collaborative nature of a CDT means there will also be emphasis on multi-disciplinary and inter-disciplinary knowledge, training and research tailored to address the skills needed at doctoral level.

As a CDT NLP student, you receive high-quality training in practical skills as well as acquiring academic knowledge and confidence for your future career - whether in academia or industry.

You will enjoy a supportive environment with plenty of opportunities for collaboration with both academic and non-academic partners to provide you with a diversity of expertise.  The CDT NLP also encourages you to make links with industry to develop real-world relevant skills.

As a student on our CDT, you will be expected to participate and contribute fully as a member of your cohort, and the programme, in order to enhance the shared training and development of all your peers.

Cohort Collaboration

In addition to your research and academic deliverables, you will take full advantage of the cohort and collaborative nature of the broader CDT NLP programme, including:

  • outreach and public engagement
  • industry/public sector liaison
  • event participation and co-ordination
  • development of your 'soft skills set'.