Part-time Student Trainee (R6759) (R6832) (S&T)
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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 and Technology:
Major Duties and Responsibilities
The appointee will mainly assist the research teams in research projects "Application of AI-enabled Prediction of Riverine Ecosystem Health for Sustainable Development" (R6759) and "Integrating AI-driven Techniques and Advanced IoT Monitoring to Assess Seawater Intrusion Impacts on Inland Riverine Systems" (R6832). He / She will be responsible mainly for the following:
- Conducting experimental research as instructed by the investigators;
- Performing data analysis;
- Assisting in report writing and presentation of the results;
- Providing effective office support and research related assistance; and
Performing any other duties assigned by the Principal Investigator(s) or Supervisor(s).
- Full-time undergraduates enrolled in a face-to-face programme in Science and Technology or a related discipline;
- Strong interest and enthusiasm for hydrological engineering and artificial intelligence;
- Strong sense of responsibility, effective organizational and interpersonal skills; and
- Good command of English and Chinese.
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.
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