Temporary Research Assistant I/II / Research Associate / Postdoc (R6793) (S&T)

Science / Laboratory / Research & Development • Contract / Project Based • Kwai Chung, Hong Kong, HK • 1w ago

Job Description - Temporary Research Assistant I/II / Research Associate / Postdoc (R6793) (S&T) (250029A)

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(s) in the School of Science and Technology:

Temporary Research Assistant I/II / Research Associate / Postdoc (R6793) (S&T) - (250029A)

Job

: Temporary/Part-time R&D

School/Unit

: School of Science and Technology

Closing Date

: 31/Oct/2025, 3:59:00 PM

Major Duties And Responsibilities

The appointee will primarily support the research team on a collaborative project with City University of Hong Kong titled “Intelligent Resource Allocation in Coded Computing for Distributed Machine Learning with Heterogeneity” (R6793). The appointee will be responsible mainly for the following:

Conducting literature reviews;
Developing algorithms;
Writing simulation programs for numerical analysis;
Performing data pre-processing and post-processing;
Assisting with documentation; and
Engaging in additional research activities and duties as assigned by the Project Investigator(s) or Supervisor(s).

Candidates

Candidates Should Possess The Following Qualifications, Experience And Competence

A Doctoral degree in Information Engineering, Computer Science, Data Engineering or a related discipline (for Temporary Research Associate/Postdoc);
A Master’s degree or above in any of the aforementioned disciplines (for Temporary Research Assistant I);
A Bachelor’s degree or above in any of the aforementioned disciplines (for Temporary Research Assistant II);
Relevant research experience in Machine Learning, Distributed Computing, Optimization Methods, and/or Error-Correction Coding is preferred;
Strong programming skills in MATLAB and Python;
Proficient writing skills for research articles; and
Self-motivated, with a strong capacity for learning, and fluent in English.

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.

Duration of Appointment

5 to 6 months for Temporary Research Associate / Postdoc; 6 to 9 months for Temporary Research Assistant I/II.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.

Please contact Dr. Vincent Kwan by email to [our mailbox through CTgoodjobs Apply Now] or Prof. Albert Sung by email to [our mailbox through CTgoodjobs Apply Now] for enquires about the post.

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.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.

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