Part-time Research Assistant I/II (R6921) (S&T) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Literature Review, Data Pre-processing, Data Post-processing, Documentation, Research Activities, Coded Computing, Artificial Intelligence, Non-destructive Testing, Material Testing, Writing Skills, Self-motivated, Learning Capability, Fluency in English

Industry

Higher Education

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 "Bridging the Simulation-to-Reality Gap: An AI-Based Investigation into the Correlation of Scaled-Down Laboratory and Field GPR Data for Pipeline Leak Detection" (R6921). The appointee will be responsible mainly for the following: Conducting literature review; Carrying out data pre-processing and post-processing; Assisting in documentation; and Carrying out other research activities and duties as instructed by the Principal Investigator(s) or supervisor(s). Candidates Candidates should possess the following qualifications, experience and competence: A Master’s degree or above in Material Science, Civil Engineering, Electronic Engineering, Information Engineering, Computer Science and Engineering, Science or a related discipline (for Part-time Research Assistant I); A Bachelor’s degree or above in Material Science, Civil Engineering, Electronic Engineering, Information Engineering, Computer Science and Engineering, Science or a related discipline (for Part-time Research Assistant II); Related research experience in coded computing, artificial intelligence, non-destructive testing, and material testing allocation will be preferred; Good writing skills in research articles; and Self-motivated, strong learning capability, and fluent in English. Terms and Conditions for Appointment Successful candidates 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. (Applicants who have responded to the previous advertisement posted in Mid-Jan 2026 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 AI-based investigation for pipeline leak detection. Responsibilities include conducting literature reviews, data processing, documentation, and other research activities as directed.