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The School of Humanities (SoH) at Nanyang Technological University (NTU), Singapore, brings together vibrant research and teaching across Chinese, English and literature, history, linguistics and multilingual studies, and philosophy. For more details, please visit https://www.ntu.edu.sg/soh.
We are looking for a full-time Research Associate in Linguistics to support the MOE SSHR Thematic Grant project, Singapore Mandarin Usage Dictionary. The Research Associate will be a core member of the project team and will independently conduct literature review, linguistic analysis, corpus-based research, and cross-varietal comparison.
Key Responsibilities:
The role will involve providing linguistic input for annotation and computational modelling, interpreting corpus and model outputs, and using these findings to design, draft, and refine dictionary entries.
The Research Associate will also coordinate annotation and quality assurance, maintain research documentation, guide student assistants, and contribute to project reports, publications, presentations, and other research activities. The appointee will work independently while collaborating closely with the PI, Co-PIs, computational researchers, and project collaborators.
Job Requirements:
Master's degree in Linguistics, Chinese Linguistics, Applied Linguistics, Corpus Linguistics, Lexicography, or a related field
Strong training in Chinese linguistic analysis, particularly in areas such as lexis, semantics, syntax, pragmatics, language variation, corpus linguistics, or lexicography
High level of proficiency in written and spoken Chinese and English so as to support the technical components of the Grant project, Singapore Mandarin Usage Dictionary
Experience in corpus-based research, linguistic annotation, lexical analysis, dictionary compilation, or related language research
Ability to independently analyze linguistic data, interpret corpus and computational findings, and produce clear research outputs
Strong analytical, writing, organizational, and quality assurance skills
Ability to work independently and collaboratively and to guide student assistants
Familiarity with Singapore Mandarin, other Mandarin varieties, Chinese dialects, multilingualism, corpus tools, or annotation platforms would be an advantage to support the technical components of the Grant project, Singapore Mandarin Usage Dictionary
We regret to inform that only shortlisted candidates will be notified.
Job ID: 151979407