Part-time Research Associate / Assistant I/II / Technical Assistant (Projec at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Literature Searches, Data Collection, Data Cleaning, Web Scraping, Panel Data Construction, Patent Data Collection, Patent Data Analysis, Large Datasets, Data Organization, Literature Review, Academic Research

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. For Research Project “[Can We Trust Repeated Transactions for Long-term Performance Advantages Amid Technological Uncertainty?]” (Project No. R6662) We are now looking for a suitable person to fill the following position in the Lee Shau Kee School of Business and Administration: Major Duties and Responsibilities The appointee will be responsible mainly for the following: Conducting thorough literature searches and reviews; Collecting, organizing, and cleaning data from various sources; Performing web searches to gather relevant information and data; Assisting in analyzing and interpreting data; Preparing comprehensive reports and summaries of findings; and Collaborating with the research team to ensure accurate and timely completion of projects. Candidates Candidates should possess the following qualifications, experience and competence: A recognized bachelor’s degree; Experience in web scraping for data extraction and panel data construction; Strong expertise in patent data collection and analysis; Hands-on experience working with large datasets, including data cleaning and organization; Proficiency in literature review and academic research; and High attention to detail and accuracy. Terms and Conditions for Appointment Successful candidate will be appointed on a temporary part-time contract. Benefits will be provided in accordance with the statutory provisions. The position will commence in April 2026. 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.

Responsibilities

The appointee will be primarily responsible for conducting thorough literature searches, collecting, organizing, and cleaning data from various sources, and performing web searches to gather relevant information. This includes assisting in data analysis, preparing comprehensive reports, and collaborating with the research team for timely project completion.