DRI knowledge exchange fellows

The Computational Abilities Knowledge Exchange (CAKE) project aims to facilitate knowledge exchange (KE) and sustainable collaboration across the full range of UK Digital Research Infrastructure (DRI) communities.

CAKE is searching for KE fellows who will, supported through a CAKE fellowship, champion and enable knowledge exchange for a part of the DRI community. These KE fellows will be part of the CAKE network with the aim to learn more about how to do KE, assemble and exchange best practices, and thus enhance knowledge exchange in the DRI and computational science domain. They will also be offered the opportunity to help shape and lead the DRI KE community.

If knowledge exchange in your DRI subcommunity is something you are passionate about and you have an idea for a specific intervention to improve it then this is your chance to become one of up to five KE fellows in the very first DRI KE Fellowship cohort!

Fellowships run for one year from the respective cohort kick-off date. After the fellowship term, fellows are invited to continue to be involved in the CAKE network as mentors, reviewers, and in other roles.


We are offering you:

  • £4000 fellowship money for travel, events and other activities as part of your fellowship (at 80% FEC).
  • Peer-support within your cohort and the wider KE network.
  • Mentoring by the CAKE leadership team.
  • Regular meet-ups and invitations to CAKE workshops.

What we expect from you:

  • A well-defined project with a clear objective that promotes and facilitates knowledge exchange in the UK DRI community.
  • A clear and actionable plan for the project.
  • Active engagement in the KE network and with the CAKE leadership team.
  • Regular attendance of the monthly KE meet-ups.
  • Attendance of both in-person and virtual CAKE events.
  • Contributions to the KE knowledge base through surveys, reports and blog posts.
  • Half-yearly reports on the process of your fellowship project.

How your application will be assessed:

Your application will be assessed by a minimum of four reviewers from our reviewing committee. The following reviewing criteria will be applied:

  • How well the proposed project addresses timely and relevant issues within the target subcommunity. (30%)
  • Individual’s knowledge and understanding of the subcommunity the proposed project intends to target. (30%)
  • Justification and usefulness of proposed resources. (20%)
  • Feasibility of the proposed timeline. (20%)

Applications for the first cohort will open in Autumn 2025