37.826, Jobs: General Linguistics: Postdoctoral Fellow(s) - Cross Cultural Analytics (Data Science, NLP, Computational Linguistics, Computational Humanities), The Chinese University of Hong Kong

[The LINGUIST List]

LINGUIST List: Vol-37-826. Mon Mar 02 2026. ISSN: 1069 - 4875.

Subject: 37.826, Jobs: General Linguistics: Postdoctoral Fellow(s) - Cross Cultural Analytics (Data Science, NLP, Computational Linguistics, Computational Humanities), The Chinese University of Hong Kong

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Date: 27-Feb-2026
From: Stuart McManus [smcmanus at cuhk.edu.hk]
Subject: General Linguistics: Postdoctoral Fellow(s) - Cross Cultural Analytics (Data Science, NLP, Computational Linguistics, Computational Humanities), The Chinese University of Hong Kong


Job Location: Hong Kong
Web Address: https://www.history.cuhk.edu.hk/en/
Job Title: Postdoctoral Fellow(s) - Cross Cultural Analytics (Data
Science, NLP, Computational Linguistics, Computational Humanities)
Job Rank: Post Doc

Specialty Areas: General Linguistics

Description:
The Chinese University of Hong Kong
Applications are invited for:-
Department of History
Postdoctoral Fellow(s) - Cross Cultural Analytics (Data Science, NLP,
Computational Linguistics, Computational Humanities)
(Ref: 26000063)
The Chinese University of Hong Kong invites applications for two
full‑time Postdoctoral Fellows to join an interdisciplinary data
science project using large‑scale text data, NLP, knowledge graphs,
and AI‑driven methods to study the historical influence of Chinese
culture in Europe and North America (1550-1900).
Applicant should have (i) a PhD (by the time of reporting duty) in
Computer Science, NLP / Computational Linguistics, Data Science,
Machine Learning, Computational Humanities, or a closely related
technical field; (ii) strong programming skills in Python and
experience with modern NLP tools and ML frameworks; (iii) experience
working with textual data (tokenization, embeddings, transformers,
OCR, or corpus processing); and (iv) the ability to work in an
interdisciplinary environment and manage research tasks independently.
Preference will be given to applicants with (1) experience with
multilingual NLP (especially English, French, Latin, or Spanish).
Knowledge of Chinese is an advantage but not required; (2) background
in digital text pipelines, LLM‑based OCR correction, graph neural
networks (GNN), or semantic search; and (3) interest - but not prior
training required - in cultural analytics or historical text analysis.
The appointee(s) will be responsible for (a) developing and applying
NLP and data‑science methods (OCR correction, semantic search,
intertextuality detection, knowledge‑graph modelling, train a graph
neural network); (b) supporting construction and processing of large
multilingual historical corpora; (c) co‑authoring research papers for
digital humanities / computational linguistics / NLP venues (Venues
will be chosen in collaboration with the postdoctoral fellows); and
(iv) working together with an international research team (China,
Europe and North America) and contributing to project workshops and
events.
Appointment will initially be made on contract basis for up to
eighteen months commencing 30 June 2026, renewable subject to good
performance and mutual agreement.
Applicants should submit the following documents in the online
application: (1) a cover letter describing relevant experience; (2)
updated curriculum vitae; (3) a research writing sample (e.g.
published journal article or conference paper); and (4) contact
information for two referees.
Review of applications will commence on 15 March 2026 and will
continue until the positions are filled.
For enquiries, please contact the Principal Investigator, Professor
Stuart McManus, at smcmanus at cuhk.edu.hk.
Application Procedure
The University only accepts and considers applications submitted
online for the post above via the CUHK career site. For more
information and to apply online, please visit
http://career.cuhk.edu.hk.

Application Deadline: (Open until filled)
Web Address for Applications: http://career.cuhk.edu.hk
Contact Information:
        Stuart McManus
        Email: smcmanus at cuhk.edu.hk



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