Call for GAIL Fellows

The Generative AI Laboratory (GAIL) invites applications for colleagues to become GAIL Fellows.

GAIL seeks to push the frontiers of Generative AI to create impact through a variety of mechanisms including societal benefit and economic growth. 

GAIL builds on the University’s world-class research in Natural Language Processing, AI and machine learning - and the application of those techniques to a variety of fields such as healthcare, fintech and sustainability – with consideration of the social, ethical, political and economic implications of their adoption.

Community

At this time GAIL is seeking to develop a community of researchers interested in all aspects of Generative AI from across the University.  

Becoming a GAIL Fellow will allow an individual and teams to join this community and help shape and build its future direction. In addition, fellows will benefit from access to seed funding, GPU-based resources and a shared GAIL research engineer, as well as university-wide networking, and industrial connectivity. 

As members of the GAIL community, they will be able to propose, lead and participate in seminars and workshops on relevant topics.  All GAIL fellows will be featured on the GAIL website and have access to dedicated communications support from the GAIL team.

Note that there is no direct resource or FTE assigned to fellows.

Applications

To apply to become a GAIL Fellow, please send a two-page CV and briefly answer the following questions:
 
  1. Why do you wish to be associated with GAIL, and what strengths do you bring to this community? 
 
  1. How do you see yourself contributing to the community? Examples of contributions can range from organisation of events or collaborative activities with partners outside your core area, to policy and public engagement. 
 
  1. Which thematic areas are you particularly interested in? This could include applications (e.g. health, energy, mobility) or conceptual areas (e.g. algorithms, systems and hardware, societal impacts)
     
  2. How much time are you able to commit to GAIL?.  
 
Applications should be sent to the GAIL Head of Business and Operations, Kirsty Dillingham at the following email address: Gen.AILab@ed.ac.uk. 

We will accept fellow applications on a bimonthly basis, the next deadline for applications will be 28th February 2026. We will send out periodic reminders of this opportunity.

Frequently asked questions

 1. Who can apply? 

Members of University of Edinburgh research staff - both faculty and postdoctoral researchers working on Generative AI and related fields from across all three colleges. Currently we are not including PhD students but this will be reviewed, so there may be opportunities for PhD students in future. 

2. How do I apply? 

Send a two-page CV and a short explanation of why you wish to be associated with GAIL including how you see yourself contributing to the community (one paragraph) to Gen.AILab@ed.ac.uk. 

3. When will I know if my application is successful?  

We will aim to notify applicants within three weeks of application, and no later than a month after application.  
 

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