Part-time Research Assistant (Project No: R6930) (E&L) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Chinese Linguistics, Chinese Language Education, Corpus Analysis, Modern Chinese Structure, Cantonese, Putonghua, MS Office, CLAN, Praat, Audio Transcription, Data Entry, Statistics, Research Data Collection, Organizational Skills, Interpersonal Skills

Industry

Higher Education

Description

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 Education and Languages: Part-time Research Assistant (Project No: R6930) (E&L) Major Duties and Responsibilities The appointee will assist the Principal Investigator for the Research Project. The appointee will be responsible mainly for the following: Assisting and supporting the Principal Investigator in implementing all aspects related to the research project; Assisting in collecting and compiling fundamental research data; Implementing audio transcription as well as data entry and conduct fundamental statistics; and Carrying out any other duties as assigned by the Principal Investigator. Candidates Candidates should possess the following qualifications, experience and competence: A recognized Master’s degree or above in Chinese linguistics, Chinese language education, or a related discipline; Preferably a higher degree and be familiar with corpus analysis; Good knowledge of the structure of Modern Chinese and Cantonese; A strong sense of responsibility and good organizational and interpersonal skills; Competence in computer skills (e.g., MS Office using Word, Excel, PowerPoint, CLAN, Praat); A good command of written and spoken Chinese (Cantonese and Putonghua); and Priority will be given to candidates with relevant research experience. Terms and Conditions for Appointment Successful candidate will be appointed on a temporary 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. The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.

Responsibilities

The appointee will support the Principal Investigator in implementing all aspects of the research project. Key tasks include collecting research data, performing audio transcription, data entry, and conducting fundamental statistics.