Research Associate / Research Assistant (NLP Research)

Job Posting Details

The appointee will work closely with faculty to conduct and support empirical research in Fintech areas, specifically in the use of AI / ML and multimodal content analysis. Specific research tasks include but are not limited to natural language processing algorithms for Chinese texts, such as pre-training and fine-tuning of language models. The appointee is also required to perform any other duties as assigned.

Applicants should (i) have a PhD degree (for Research Associate position), or a master’s or bachelor’s degree (for Research Assistant position) in computer science, data analytics, statistics, mathematics or related disciplines; (ii) have strong quantitative skills and experience in data cleansing, data manipulation, and analysis; (iii) have understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling; and (iv) be able to work independently and be team-oriented with good interpersonal skills. Experience in working with sentiment analysis, and possession of advanced text analytical skills in Chinese are highly valued. Knowledge about the financial market is a plus. (Duration : 1 year, renewable)

Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided.

Review of applications will continue until the position is filled.

Information provided by applicants will be used for recruitment and other employment-related purposes only.)

HKUST is an equal opportunities employer and is committed to our core values of

inclusiveness, diversity, and respect.

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