Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. 

As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching.

HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.

For more information about the University, please visit https://www.hkmu.edu.hk

We are now looking for a suitable person to fill the following position in the School of Arts and Social Sciences: 

Major Duties and Responsibilities

The appointee(s) will assist the Principal Investigator in the research project “Mapping Meaning: Digital Philology of Di 帝 and Zhong 中 in Early Chinese Texts” (Project Code: R6945). The appointee will be responsible mainly for the following: 

• Corpus Construction and Text Mining: Collecting, organizing, and documenting materials from pre-existing electronic corpus of classical Chinese texts and/or creating new electronic corpus according to project needs; using Python-based tools (e.g., Jieba or similar segmentation libraries) to perform word segmentation and preliminary part-of-speech / semantic labeling on selected texts; 

• Digital and Quantitative Analysis: Running automated analyses (e.g., KWIC) to extract occurrences of key terms and their immediate contexts, identify meaningful associations across corpora; applying thematic categories in automated tagging; 

• Visualization of Data: Generating co-occurrence network graphs, heatmaps, and Sankey diagrams and related visualizations to represent frequency, textual proximity, and sequential patterns of keyword clusters

Candidates

Candidates should possess the following qualifications, experience and competence: 

• A Bachelor’s degree or above for appointment as Research Assistant II; applicants without a degree may be considered for appointment at the rank of Technical Assistant

• Working knowledge of software such as Python, sufficient to run and adapt scripts using libraries for segmentation, text mining, and basic Natural Language Processing (NLP) tasks
• Familiarity with corpus-based methods such as KWIC concordance, collocation analysis, and the use of frequency distributions and basic significance tests for co-occurrences (ideally including LLR, or potential to learn)

• Experience with data visualization tools and methods, including network graphs (e.g., co-occurrence networks), heatmaps,  and flow diagrams (e.g., Sankey diagrams) 

• Prior research experience, particularly in Digital Humanities or related quantitative approaches to textual analysis, will be an advantage

Terms and Conditions for Appointment

Successful candidate(s) will be appointed on a part-time contract. Benefits will be provided in accordance with the statutory provisions.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System. Please contact Dr. Valente LEE Wa Lun by e-mail to [email protected] for enquiries about the post.