Postdoctoral Fellow(s) – Cross Cultural Analytics (Data Science, NLP, Computational Linguistics, Computational Humanities)
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Before you apply
LocationThe Chinese University of Hong Kong
Typefull-time
SeniorityEntry
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live33m ago
At a glanceSummarised by Seekless from the posting.
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
Strong programming skills in Python and experience with modern NLP tools and ML frameworks
Experience working with textual data (tokenization, embeddings, transformers, OCR, or corpus processing)
Ability to work in an interdisciplinary environment and manage research tasks independently
Experience with multilingual NLP (especially English, French, Latin, or Spanish)
Background in digital text pipelines, LLM-based OCR correction, graph neural networks (GNN), or semantic search
Interest in cultural analytics or historical text analysis
Skills
Python
NLP
ML frameworks
tokenization
embeddings
transformers
OCR
corpus processing
multilingual NLP
graph neural networks
semantic search
knowledge-graph modelling
LLM
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).
Requirements
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.
Responsibilities
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; © 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.
Hiring process
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 [email protected].
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.
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