Humanist Discussion Group, Vol. 40, No. 64.
        Department of Digital Humanities, University of Cologne
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    [1]    From: Mairin MacCarron <mairin.maccarron@ucc.ie>
           Subject: Phd Studentship (Cork) (26)

    [2]    From: McKean, Callum <Callum.McKean@bl.uk>
           Subject: New Fellowship Available at the British Library - Local LLMs and Born-Digital Archives (47)


--[1]------------------------------------------------------------------------
        Date: 2026-06-19 15:28:19+00:00
        From: Mairin MacCarron <mairin.maccarron@ucc.ie>
        Subject: Phd Studentship (Cork)

Fully-funded PhD position at University College Cork, to work as part of the
nationally-funded Research Ireland Rinn<https://www.researchireland.ie/rinn-
network/> Artificial Intelligence network on a project related to Maria
Edgeworth. ( Sept/Oct 2026 start date.)

Research Theme: Cultural & Political Analytics (1 PhD scholarship)

PhD Topic: A data-driven analysis of a foundational Irish woman writer, Maria
Edgeworth (1768-1849), including research into her correspondence, novels and
writing for children.
Supervisor: Professor Claire Connolly -
claireconnolly@ucc.ie<mailto:claireconnolly@ucc.ie>, School of English and
Digital Humanities. Co-supervisors: Dr Máirín MacCarron (Digital Humanities) and
Professor Barry O’Sullivan (Computer Science).

Funding: The scholarship is worth a total of €150,000 and provides for a stipend
of €25,000 per year for four years (tax free) with additional funds available to
support e.g., conference attendance, equipment, and training activities. EU/non
EU fees are included.

How to Apply: Follow the link: https://forms.gle/U6eQcbuyPhvKrxXW7 and indicate
the Research Theme and the Supervisor Name in the appropriate place in the form.


Dr Máirín MacCarron
Senior Lecturer in Digital Humanities, University College Cork

--[2]------------------------------------------------------------------------
        Date: 2026-06-19 12:53:00+00:00
        From: McKean, Callum <Callum.McKean@bl.uk>
        Subject: New Fellowship Available at the British Library - Local LLMs and Born-Digital Archives

Hi all,

Sorry for cross-posting, but I wanted to highlight a new Postdoctoral Fellowship
at the British Library which may be of interest (Barker Postdoctoral Fellowship
in Born-Digital Archives

<https://ce0752li.webitrent.com/ce0752li_webrecruitment/
wrd/run/etrec179gf.open?WVID=5071482BMD&LANG=USA&VACANCY_ID=358769BTxS>).

See below for details:

About the role

Co-design a research project with the Library for a 12-month funded-fellowship,
where you will be embedded in our expert curatorial and research teams.

Thanks to a generous donation from Joanna and Graham Barker, these fellowships
are designed to support and equip researchers, creatives, and cultural
professionals with the practical skills, professional insight, and
interdisciplinary experience needed to thrive in a rapidly changing knowledge
landscape. A key element of this opportunity is a structured pathway for Fellows
to gain transferable, future-facing skills, project- and line-management
experience, feel supported within our research community, and generate new
expertise for the wider cultural and academic ecosystem.

We are inviting research proposals that develop the theme of 'Local Large
Language Models to Enable Discovery and Access for Personal Digital Archives.'
This fellowship will be supervised by Callum McKean, Lead Curator for Born-
Digital Archives, and supported by the Research Development Team.

Personal Digital Archives (PDAs) are collections of born-digital materials
created over a person's life and work. These include e-mails, documents,
photographs, system files, voice recordings, and other digital content. The
Library's collection is the largest and most significant in the UK, and we play
a leading international role in developing their preservation, description, and
access.

Despite their value, PDAs present major challenges due to their scale and
sensitive content and, as a result, many of these collections remain
inaccessible to the public. The Fellow will explore how 'local' (offline) Large
Language Models (LLMs) can be applied to PDAs, developing a case study approach
to demonstrate how these tools can improve access and interpretation.


Thanks,
Callum
<http://www.bl.uk/>


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