Part-time Research Assistant in the Department of English
Job Highlight
Job Description
Part-time Research Assistant in the Department of English (Appointment for 9 months) [Ref. T/020/24]
Duties
- Assist in the design of teaching materials for prompt engineering and customized AI chatbot;
- Assist in conducting interviews or focus groups with students; and
- Assist in data analysis and manuscript preparation.
Requirements
- A Bachelor’s degree or above in Linguistics/Communication/Information Studies, or Computer Science;
- Excellent command of spoken and written English;
- Knowledge in theories and concepts in discourse analysis and linguistic pragmatics;
- Knowledge in generative AI and prompt engineering; and
- Having internship and/or prior working experience in Hong Kong would be an advantage.
Salary and Conditions of Service
Salary offered will be highly competitive, commensurate with qualifications and experience.
Information and Application
Further information on the post and the University is available at http://www.cityu.edu.hk, or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong [Email : [via Apply Now]/Fax : 2788 1154 or 3442 0311].
To apply, please submit an online application at http://jobs.cityu.edu.hk. The closing date is 4 October 2024 . Applications will receive full consideration and only shortlisted applicants will be contacted. The University’s privacy policy is available on the homepage.
City University of Hong Kong is an equal opportunity employer. We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes.
Worldwide recognition ranking #62 (QS 2025) and #82 (THE 2024); #1 in the World’s Most International Universities (THE 2024); Young University Rankings #4 (THE 2024); Asia University Rankings #15 (THE 2024) and #17 (QS 2024)
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Job Function | |
Work Location | Not Specified |
Education |
Degree
|
Spoken Language | Fluent English |
Written Language | Fluent English |
Employment Type | Part Time |
Industry | Education / Training |