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[Commlist] Fully-funded PhD studentship on Generative AI and Cultural Heritage
Sat Apr 26 17:51:58 GMT 2025
We are looking for candidates for this project in collaboration with the
National Archives.
*PhD Studentship: The Roles of Generative AI in Enabling or Disabling
Inclusive Research and Accessible Cultural Heritage*
*Start date:* 1 October 2025
*Application Deadline:* 18:00 on Tuesday, 27 May 2025
/We expect interviews to take place online in the week commencing 9 June
2025./
Details and online application form available at
https://www.jobs.ac.uk/job/DMO496/phd-studentship-the-roles-of-generative-ai-in-enabling-or-disabling-inclusive-research-and-accessible-cultural-heritage
+++
The University of Roehampton and The National Archives are pleased to
announce the availability of a fully funded Collaborative doctoral
studentship from October 2025, under the Arts and Humanities Research
Council (AHRC) Collaborative Doctoral Partnership scheme.
This studentship addresses questions of diversity in AI-generated
cultural narratives - particularly within 19th-century Black history -
and the challenges for the discovery, cataloguing, and representation of
diverse histories in an AI world. Drawing on collections held at The
National Archives, while considering the organisation’s unique role as
the official archive and publisher for the UK Government, and for
England and Wales, this project will consider issues of access, impact
and inclusive research practice, and it proposes to develop advice for
effective and ethical AI use for researchers and archive practitioners.
It will be jointly supervised by Dr Mary L. Shannon (Senior Lecturer,
Department of English and Creative Writing – University of Roehampton)
and Dr Mollie Clarke (Research Engagement Manager, The National
Archives, and Co-Supervised by Dr Yuwei Lin (Senior Lecturer, Digital
Technologies – University of Roehampton) and Mr Bernard Ogden (Research
Software Engineer, The National Archives). The student will be expected
to spend time at both the University of Roehampton and The National
Archives. As part of their studentship, they have the opportunity to
work alongside The National Archives colleagues as part of the Research,
Grants and Academic Engagement Department, for example, gaining
experience within the Digital Research team.
The student would also commit to undertake relevant training activities
offered by the University of Roehampton or The National Archives to
support their research activities and personal and professional
development. There is also an opportunity for the student to work at The
National Archives on a placement as part of their CDP, supporting the
work of records specialists or archive practitioners. They would become
part of the Research Centre for Society, Culture, and Social Change; the
collaborative doctoral cohort at The National Archives; and the wider
cohort of CDP funded students across the UK, with access to CDP Cohort
Development events.
It is important to us that our organisations are more diverse, so we
encourage applications from people of all backgrounds and identities. We
are especially keen to hear from candidates from global majority
backgrounds as they are currently underrepresented at this level in this
area.
Applicants should ideally have or expect to receive a Master’s Degree in
a relevant subject, or be able to demonstrate equivalent experience in a
setting involving knowledge of and critical reflection on relevant
topics. There is scope to take a more historical/digital/practice
perspective depending upon the student's interest and background, and to
shape the project according to their existing interests.
The studentship can be studied either full or part-time. The student
will become part of the wider group of CDP funded students across the
UK, with access to events and training delivered in partnership with a
range of cultural heritage institutions.
Project Overview
This PhD project addresses lack of diversity in AI-generated cultural
narratives - particularly within 19th-century Black history - and
challenges for the discovery, cataloguing, and representation of diverse
histories in an AI world.
This project will develop advice for effective and ethical AI use when
researching, cataloguing, and presenting diverse histories, through an
interdisciplinary methodology. The focus will be on mainstream
commercial Generative AI providers and how they answer questions on
diverse histories and on how those histories are represented in answers
more generally. It will draw on TNA collections, or materials that have
cited/used them. Focussing on the ADM records and in particular evidence
of Black British sailors, it will explore the extent of racial and
geographical diversity within the 19th-century lower-decks, and consider
new ways of approaching, accessing and highlighting global and diverse
histories at TNA.
It is anticipated that users will come to archives increasingly with
questions based on what Large Language Models have told them, and
content created by archives is a part of what is used to train LLMs.
LLMs have biases presenting problems in dealing with sensitive
historical material, and the project seeks to address this problem.
Practice-based work will be accompanied by theoretical exploration to
underpin a case study based on collection material identified by the
student, supported by the unique combination of theoretical and practice
expertise from the combination of the Roehampton and National Archives
supervisory teams, linked together by the student’s own interests.
Research questions include:
How do archival practitioners and researchers navigate different
conceptions around race over time against the "modern global north"
default perspective of LLMs? To what extent can training on suitable
period data improve LLMs when addressing these questions?
In what ways, and what are the implications, of GenAI using
information from the archive without necessarily citing it, or using
second hand accounts (e.g. catalogue descriptions or blogs) rather than
directly from source?
How might cultural heritage organisations engage more proactively
with GenAI, supporting users by providing sector recommendations/advice
on prompts and training data?
What is the relationship between helping users to understand and
conceptualise GenAI, and their ability to write more critically-informed
prompts/develop a more critical eye for the outputs?
Funding
CDP doctoral training grants fund full-time studentships for 48 months
(4 years), or part-time equivalent.
The award pays tuition fees up to the value of the UK Research and
Innovation (UKRI) full-time home rate for PhD degrees. Roehampton
university will waive the difference between the home and overseas fee
to ensure that overseas students can also apply for this ward. The award
also pays a stipend to cover living costs, which will be paid in regular
instalments. This stipend will be a minimum of £20,780 per year, plus
London Weighting of £2,000 per year. CDP students also receive an
additional maintenance payment of £600 per year. Further details can be
found on the UKRI website.
The student will also be eligible to claim up to £4,000 worth of
research-related expenses from The National Archives. Students can apply
for top-up research support funds from Roehampton over their time at the
institution.
Training
CDP students will have access to training and development opportunities
throughout the course of their PhD, supported and facilitated by the CDP
Consortium, the University of Roehampton, and The National Archives. CDP
students would be expected to undertake a work placement or development
opportunity for a period of 1 to 3 months (or part-time equivalent).
Eligibility
This studentship is open to both Home and International applicants.
To be classed as a Home student, candidates must meet the following
criteria:
Be a UK National (meeting residency requirements), or
Have settled status, or
Have pre-settled status (meeting residency requirements), or
Have indefinite leave to remain or enter
Further guidance can be found on the UKRI website.
All applicants must meet the UKRI terms and conditions for funding.
Person specification
Applicants should ideally have or expect to receive a relevant
Masters level qualification or be able to demonstrate equivalent
experience in a setting involving knowledge of and critical reflection
on relevant topics. Suitable disciplines are flexible but might include
Digital Humanities, History, English Literature, and/or Information and
Knowledge Management. Please note that the CDP scheme, and training and
development opportunities within it, will ensure that the student is
supported in developing necessary skills that will aid in the delivery
of the project itself (for example: digital skills).
Applicants must be able to demonstrate an interest in the archives
sector and potential and enthusiasm for developing skills more widely in
related areas.
Applicants must be willing to spend time working with the
University of Roehampton and The National Archives, both in person and
online
Reasonable adjustments and support for applicants
Should you require any reasonable adjustments or support throughout the
application process, please contact (Graduateschool /at/ roehampton.ac.uk) or
(research /at/ nationalarchives.gov.uk)
Support or adjustments may include (but are not limited to):
Opportunity to speak with supervisors about the project and the
process.
Opportunity to speak with contacts within the University of
Roehampton and/or The National Archives regarding institutional support
systems (e.g. Neurodiversity, Racial Diversity and LGBTIAQ+ networks,
mental health support, support for carers, and more).
Access to interview questions and insight into the interview process.
Opportunity to speak with active CDP students to ask questions
regarding student experience as part of the CDP scheme.
Equality, diversity and inclusion
The National Archives is part of the Civil Service. The Civil Service is
committed to attract, retain and invest in talent wherever it is found.
To learn more please see the Civil Service People Plan (opens in a new
window) and the Civil Service Diversity and Inclusion Strategy (opens in
a new window).
We encourage applications from candidates of all backgrounds and
identities, and are especially keen to hear from candidates from
underrepresented communities and different disciplinary backgrounds,
language skills and familiarity with relevant historical and
geopolitical contexts. The University of Roehampton’s EDI policy can be
found here. At Roehampton, the student will have the benefit of
appropriate workload, emotional, and ethical training offered by the
Graduate school, enjoy the Research and Ethics support mentorship
programme and the services of the Student Well-Being Team.
Find out more
For more information, please contact Dr Mary L. Shannon
((mary.shannon /at/ roehampton.ac.uk)) and Dr Mollie Clarke
((Mollie.Clarke /at/ nationalarchives.gov.uk)).
How to Apply
Eligible candidates should apply through Roehampton's online portal by
18:00 on Friday, 23 May 2025. We expect online interviews to take place
online in the weeks commencing 9 or 16 June 2025. Please include in your
application:
Your CV;
A statement, up to 2,000 words, explaining your interest in this
topic, what you bring to the project, and providing a proposal for how
you would like to approach the questions it asks;
A transcript of your university-level grades;
2 references from academic referees; and
Test results demonstrating your proficiency in English (if required).
Please confirm to (mary.shannon /at/ roehampton.ac.uk) when you have submitted
your application so we know to expect it. You may need to upload your
supporting documents alongside your online application form. Please do
read the application guidance here and ensure that you meet the
Roehampton application criteria. Feel free to contact
(pgresearch /at/ roehampton.ac.uk) if you have any further application questions.
Privacy notice
The University of Roehampton will share applicant data with The National
Archives for the purposes of recruitment and diversity monitoring.
Anonymised diversity monitoring data will also be shared with UKRI for
the purposes of monitoring the CDP scheme. For more information about
how this data will be shared, please see The National Archives’ privacy
notice and the University of Roehampton’s Privacy Notice.
Anonymised data on the number of applicants for the CDP studentship and
their declared gender, age, ethnicity and disability with be shared with
the National Archives.
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