Dear Colleagues,


I would appreciate if you could share this opportunity with your wide networks - thank you!

Melissa 

Join the Designing Responsible NLP Global Majority Fellowship Scheme at the University of Edinburgh!

https://www.responsiblenlp.org/global-majority-fellowships-2025-2026/

Deadline: 31st July 2025, 23:59 British Summer Time

Are you an early-career researcher or professional with a passion for Natural Language Processing (NLP) and looking for an extraordinary opportunity to expand your horizons? The UKRI Centre for Doctoral Training in Designing Responsible NLP at the University of Edinburgh is thrilled to announce the launch of our Global Majority Fellowship Scheme, to be hosted at the Edinburgh Futures Institute and the School of Informatics. This initiative is focused towards early-career researchers and professionals from the global majority* who are eager to challenge the norms and enrich the field of NLP with diverse perspectives. Fellows will be embedded within the interdisciplinary responsible AI community at the Edinburgh Futures Institute, and can mentor, collaborate and exchange ideas with our doctoral students and their academic supervisors. The aim of these Fellowships is to support global majority researchers and professionals to develop their research network, and to enrich the training of our doctoral students

The Fellowship comes with a stipend for living expenses and travel, seeking to enable Fellows to be hosted in Edinburgh for between 2-3 months in duration. We expect the first Fellow will join us in Edinburgh between January and March 2026.

Fo the first year of this fellowship scheme, we are welcoming applications on the topic of “Responsible NLP and Digital Cultural Heritage” which will be supported by Professor Melissa Terras.

*That is people who are black, Asian, brown, dual-heritage, indigenous to the global south, and/or have been racialised as ‘ethnic minorities’.

Topic Details:

The focus for this year’s Global Majority Fellowship is to explore innovative but responsible applications of Natural Language Processing in analysing, enhancing, understanding, or reusing digital cultural heritage collections, including those from galleries, libraries, archives, and museums (GLAM), or other communities. This interdisciplinary research topic may cover:

Fellowship Highlights:

Who Should Apply?:

You can apply if you are an early career researcher defined as either of the following:

Benefits of the Fellowship:

Timeline:

Applications are open until the 31st July 2025. We invite applicants to prepare for potential interviews at the end of August (these will take place virtually). This timeline will ensure you are ready to start your fellowship in the heart of Edinburgh during January to March 2026.

How to apply: 

In order to apply, you need to:

  1. Complete and submit the application form here: https://forms.office.com/e/JDFX6B0rsc

2. Prepare a CV, Cover Letter and Research Proposal and send these to: gmf.nlp@inf.ed.ac.uk

The CV should be a maximum of 2-pages, and cover relevant work and professional experience, qualifications, and a list of relevant publications, projects and / or grants.

The Cover Letter should be between 1 and 2 pages, and should describe your fit to the opportunity, highlighting anything in particular in your CV and your research proposal that you want to draw the committee’s attention to.

The Research Proposal should include:

Applicants must submit both the form and the email with the three attachments by 23:59 British Summer Time on the 31st July 2025 in order to be considered for the Fellowships.

If you have any questions:

For more information on the Fellowship, or if you have any questions, please contact our team by emailing gmf.nlp@inf.ed.ac.uk.

See more at:

————
Professor Melissa Terras MBE FREng
Co-Director, CoSTAR Realtime Lab 
Design Informatics, Edinburgh College of Art
University of Edinburgh
@melissaterras








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