Part-time Research Assistant I or II (Project code: R8029) (A&SS) (Ref: 250009S)

We are now looking for a suitable person to fill the following position in the School of Arts and Social Sciences:

Part-time Research Assistant I or II (Project code: R8029) (A&SS) (Ref: 250009S)

Major Duties and Responsibilities

The appointee will assist in a research project related to AI-powered mobile learning for language education (Project code: R8029). The appointee will be responsible mainly for the following:  

• Creating an AI-powered metaverse for speaking learning, including AI development, metaverse integration, UX/UI design, RAG training, etc.;
• Providing assistance in project coordination, and
• Performing other duties as assigned by the principal investigator.

Candidates

Candidates should possess the following qualifications, experience and competence:

• A bachelor’s degree (research assistant II) or master’s degree (research assistant I) in computer science or a related discipline;
• Proficiency in programming languages such as Python, Java, or C++
• Strong experience with AI, ML, NLP, and VR technologies;
• Proven experience in developing AI-powered applications or tools;
• Experience with 3D graphics and development of online/mobile language education tools is highly desirable;
• Good command of both written and spoken English and Chinese; and
• Detail-oriented, hardworking, responsible, and able to meet deadlines and work independently.

Terms and Conditions for Appointment 

Successful candidate will be appointed on a part-time contract (April 2025 - August 2025).  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. Please contact Dr. Venus Chan by e-mail to vwmchan@hkmu.edu.hk for enquiries about the post. Please state your expected hourly rate in your CV. 

https://hkmu.taleo.net/careersection/ex_non_full_time/jobapply.ftl?lang=en&job=250009S

Closing date of application:  23 February 2025

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.