Temporary Research Assistant II (R6811) (S&T) at Hong Kong Metropolitan University

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Python, C++, Machine Learning, Weather Prediction, Data Analysis, Literature Review, Report Writing, Organizational Skills, Interpersonal Skills, English, Chinese

Industry

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 Science and Technology: Major Duties and Responsibilities The appointee will mainly assist the research team in a research project “Integrating Machine Learning and Environmental Modeling for Wind Prediction and Wildfire Simulation” (R6811). The appointee will be responsible mainly for the following: Providing support in literature review and data analysis; Working with the Principal Investigator / supervisors to prepare report writing; and Conducting other research activities as instructed by the Investigators. Candidates Candidates should possess the following qualifications, experience and competence: A Bachelor's degree or above in Science, Engineering or a related discipline; Basic knowledge of programming (e.g. Python or C++); Good knowledge of machine learning and/or weather prediction is an advantage; Strong sense of responsibility, effective organizational and interpersonal skills; and Good command of English and Chinese. Terms and Conditions for Appointment Successful candidate 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 via the University’s eRecruitment System. (Applicants who have responded to the previous advertisement posted in Sep 2025 need not re-apply.) 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 assist the research team in a project focused on integrating machine learning and environmental modeling for wind prediction and wildfire simulation. Responsibilities include literature review, data analysis, report writing, and conducting other research activities as instructed.