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JOB DETAILS

Postdoctoral Fellow(s) – Cross Cultural Analytics (Data Science, NLP, Computational Linguistics, Computational Humanities)

CompanyThe Chinese University of Hong Kong
LocationChina
Work ModeOn Site
PostedNovember 8, 2026
About The Company
A comprehensive research university with a global vision, The Chinese University of Hong Kong (CUHK) embraces internationalisation in its education and research, with a view to achieving excellence and gaining recognition for the University as a global leader. The first student exchange program at the University was launched in 1965 with the University of California system. Today, CUHK has formal partnerships with over 450 institutions around the world, ranging from teaching and research collaborations to faculty and student exchanges, apart from joining a number of international associations to facilitate academic exchange. Serving as its international relations arm, the Office of Academic Links (OAL) promotes and facilitates the internationalisation of CUHK in its research, teaching and learning programmes so as to seek recognition for the University as a leader on the global stage.
About the Role

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@cuhk.edu.hk.

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.

Key Skills
PythonNatural Language ProcessingMachine LearningComputational LinguisticsData ScienceKnowledge GraphsGraph Neural NetworksOCR CorrectionSemantic SearchMultilingual NLPTextual Data ProcessingTransformer ModelsEmbeddingsComputational HumanitiesIntertextuality Detection
Categories
Science & ResearchData & AnalyticsTechnologyEducationSoftware
Job Information
📋Core Responsibilities
The appointee will develop and apply NLP and data science methods to analyze large-scale historical text data. They will also collaborate with an international research team to construct multilingual corpora and co-author research papers.
📋Job Type
full time
📊Experience Level
0-2
💼Company Size
5
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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