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

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Programming, Data Processing, Web Scraping, Data Extraction, Panel Data Construction, Consumer Behavior Data Collection, Data Cleaning, Quantitative Analysis, Data Preprocessing, Literature Review, Academic Research, Data Accuracy

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. Project Title - "The Prestige of Pixels: Status-Seeking Motivation and Preference for Visually Complex Products in the Metaverse" (Project No.: R6890) 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 related to consumer behavior research; Collecting, organizing, and cleaning consumer behavior datasets from various sources using Python; Performing web scraping and online searches to gather relevant consumer behavior data and information; Assisting in quantitative and qualitative analysis and interpretation of consumer behavior data; Preparing comprehensive research reports and summaries of empirical findings; and Collaborating with the research team to ensure accurate and timely completion of consumer behavior research projects. Candidates Candidates should possess the following qualifications, experience and competence: A recognized bachelor’s degree; Proficiency in Python programming and basic data processing; Experience in web scraping for consumer behavior data extraction and panel data construction; Strong expertise in consumer behavior data collection, cleaning and quantitative analysis; Hands-on experience working with large consumer behavior datasets, including data organization and preprocessing; Proficiency in literature review and academic research related to consumer behavior; and High attention to detail and data accuracy. The level of appointment depends on the candidate’s academic background, experience and competence in academic leadership, teaching, research, scholarly publications, etc. 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. 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 primarily conduct thorough literature searches and reviews related to consumer behavior research, collect, organize, and clean consumer behavior datasets using Python, and perform web scraping to gather relevant data. Responsibilities also include assisting with quantitative and qualitative data analysis, preparing research reports, and collaborating with the team for timely project completion.