(apologies for cross-postings)

Dear colleagues,

We are looking for two Postdoctoral Research Associates (in Latin Linguistics 
and in computational linguistics) for theERC-selected project “Computational 
Corpus Annotation for Quantitative Analysis of Latin Lexical Semantics” (COALA) 
at King’s College London. Led by Dr Barbara McGillivray, the project is funded 
by UKRI under the ERC Guarantee scheme and explores Latin semantics through 
large-scale corpus annotation and computational analysis, combining NLP with 
historical linguistics.

Location: Strand Campus, London
Fixed-term: 3 years
Closing date for applications: 2 December 2025

  1.  Post-doctoral research associate in Latin Linguistics

The successful candidate will design and curate a 1-million-token Latin corpus, 
conduct annotation of word senses in the corpus, and conduct case studies on 
Latin semantic change and variation.

Fixed-term: 3 years



Full details and application link: 
https://www.kcl.ac.uk/jobs/130725-post-doctoral-research-associate-in-latin-linguistics
  2.  Post-doctoral research associate in Computational Linguistics

The successful candidate will design and curate a 1-million-token Latin corpus, 
conduct annotation of word senses in the corpus, and conduct case studies on 
Latin semantic change and variation.

Fixed-term: 2 years and 11 months
Full details and application link: 
https://www.kcl.ac.uk/jobs/130705-post-doctoral-research-associate-in-computational-linguistics



Dr Barbara McGillivray, FHEA | <https://twitter.com/BarbaraMcGilli> 
@BarbaraMcGilli<https://twitter.com/BarbaraMcGilli>

Senior Lecturer in Digital and Cultural Humanities and convenor of the MA 
programme in Digital Humanities

Room 3.28, Department of Digital Humanities, King’s College London, Strand 
Campus, Strand, London, WC2R 2LS

Group lead of the Computational Humanities Research 
Group<https://www.kcl.ac.uk/research/computational-humanities-research-group>
Open Research Lead, Faculty of Arts and Humanities

Editor-in-chief of Journal of Open Humanities 
Data<https://openhumanitiesdata.metajnl.com/>




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