Temporary Research Assistant II

1 week ago


Kwai Chung, Hong Kong SAR China Hong Kong Metropolitan University Li Ka Shing School of Professional and Continuing Education Full time

Temporary Research Assistant II (R6811) (S&T) Join to apply for the Temporary Research Assistant II (R6811) (S&T) role at Hong Kong Metropolitan University Li Ka Shing School of Professional and Continuing Education . 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, 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 applied skills and knowledge. As a faculty-driven, student-centred university, we support innovative teaching, strategic research and stakeholder outreach, focusing on digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching. HKMU is a vital link in addressing Hong Kong’s challenges and will expand into the Greater Bay Area (GBA) to cultivate talent for broader service. We are looking for a suitable person to fill the following position in the School of Science and Technology : Temporary Research Assistant II (R6811) (S&T) - (25002K5) Job School/Unit : School of Science and Technology Closing Date : 05/Dec/2025, 3:59:00 PM Major Duties And Responsibilities The appointee will mainly assist the research team in the 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 organisational 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. #J-18808-Ljbffr



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