Part-time/Temp Research Associate/Assistant I/II / Technical Assistant

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. 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.

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[For Research Project “Learning Analytics Intervention System for Python Programming Courses” ( Project No. R6414)] 

We are now looking for a suitable person to fill the following position in the  Lee Shau Kee School of Business and Administration :

Part-time/Temp Research Associate/Assistant I/II / Technical Assistant (Project no: R6414) (B&A) (Ref: 24000O9)

Major Duties and Responsibilities 

The appointee will be responsible mainly for the following:

• Collecting data from the Internet;
• Conducting data analysis and compiling reports;
• Implementing machine learning algorithms;
• Performing other programming tasks under the supervision of the investigator; and
• Providing assistance in other areas related to the research project.

Candidates

Candidates should possess the following qualifications, experience and competence:

• Preferably a recognized higher degree in computing or related area;
• Good publication record;
• Strong data analytics and programming skills in Python or Java;
• Experience in collecting information from Websites via a Web scrapping tool;
• Prompt engineering for large language models;
• Proficiency in implementing artificial intelligence, machine learning and deep learning algorithms; and
• Willing to learn new technologies and able to work independently. Knowledge in online learning is preferable but not essential. 

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.

Closing date of application: 31 October 2024

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