Temporary Research Assistant II (R6571) (S&T)

Science / Laboratory / Research & Development • Contract / Project Based • Kwai Chung, Hong Kong, HK • 6d ago

Job Description - Temporary Research Assistant II (R6571) (S&T) (250020B)

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 Science & Technology:

Temporary Research Assistant II (R6571) (S&T) - (250020B)

Job

: Temporary/Part-time R&D

School/Unit

: School of Science and Technology

Closing Date

: 08/Oct/2025, 3:59:00 PM

Major Duties And Responsibilities

The appointee(s) will mainly assist the research team in a research project "Knowledge Alignment Framework Based on Contrastive Learning in Stock Prediction and other Emotion-Related Natural Language Processing Tasks" (R6571). The appointee will be responsible mainly for the following:

Performing data analysis, developing ensemble models, and designing algorithms;
Assisting in the preparation of research paper and reports; and
Performing other duties as assigned by the Principal Investigator.

Candidates

Candidates Should Possess The Following Qualifications, Experience And Competence

A Bachelor’s degree or above in Engineering, Computer Science or a related discipline;
Research experiences in ensemble models, data analysis and mining; and
Candidates with proficient English speaking and writing abilities are preferred.

Terms and Conditions for Appointment

Successful candidate(s) will be appointed on a temporary full-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, including their CVs, cover letters, and any relevant certificates, 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.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

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