Part-time Lecturer, School of Communication

Fa Ewqq Saasfaprod1 Open · verified Sep 18, 2026

Hong Kong, China Part-time Mid-level Communications

Mid-level Communications role at Fa Ewqq Saasfaprod1. Hong Kong, China · part-time.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

You'll teach postgraduate AIDM courses through weekly three-hour, in-person classes
You'll build and refresh slides, practical exercises, and case studies for each course
You'll create, run, and grade assignments, quizzes, and final team projects, then return prompt feedback
You'll hold student consultation hours, file grades by the deadline, and handle other tasks from the Programme Director

What you bring

You hold a master's degree or higher in AI, computer science, communication, media management, business, digital media, or a related field
You bring practical generative AI, large language model, or agent-development experience, or substantial AI and data product-management work
You have prior university or postgraduate teaching experience and can teach at postgraduate level in excellent English
You communicate well, take responsibility seriously, and care about mentoring students

Who this fits

This role suits someone who can teach agentic AI in digital media or AI product management to postgraduate students. You must be available for in-person teaching in Hong Kong and work in English. The initial part-time appointment begins in Semester 2 of the 2026-27 academic year, with renewal depending on performance and course availability.

From the employer

SCHOOL OF COMMUNICATION

Part-time Lecturer, School of Communication (26270111)

Master of Science in AI and Digital Media (AIDM)

The Master of Science in AI and Digital Media (AIDM) program is an interdisciplinary postgraduate programme focusing on the application of big data analytics and AI for media and communication. The programme is looking for Part-time Lecturer(s) to teach postgraduate course(s) in the following courses:

AIDM7900 Agentic AI in Digital Media - This course equips students to design, build, evaluate, and govern agentic AI systems for digital communication and media. Students learn foundational concepts in generative AI and agent architectures and develop working agents using no-code tools and "vibe coding" workflows.
AIDM7910 AI Product Management in Media — Equipping students with interdisciplinary knowledge and practical skills in AI product management. Topics include core product management principles, AI/ML fundamentals for product managers, the AI product development lifecycle, design thinking, business strategy, metrics, monetisation, and ethics and regulation in AI media products.

The ideal candidate should hold a Master’s degree or above in Artificial Intelligence, Computer Science, Communication, Media Management, Business, Digital Media, or a closely related field (a doctoral degree is preferred). Demonstrable hands-on experience with generative AI/LLMs, AI agent development, or substantial professional experience in product management (specifically with direct involvement in AI-driven or data-driven products in media, technology, or internet sectors) is highly valued. Previous university or postgraduate teaching experience is preferred. As the medium of instruction is English, an excellent command of English at the postgraduate level is required. Excellent communication skills, a strong sense of responsibility, and a passion for mentoring students are also essential.

Duties include delivering 13 weekly three-hour in-person sessions (39 contact hours) per course in accordance with the approved course syllabus and Course Intended Learning Outcomes (CILOs); preparing and updating teaching materials (lecture slides, hands-on exercises, case studies); designing, administering, and grading all assessment components (individual assignments, quizzes, and final group projects); providing timely feedback; holding regular student consultation hours; submitting grade reports according to deadlines; and any other work as assigned by the Programme Director.

The initial appointment will be offered on a part-time basis commencing in Semester 2 of the 2026–27 academic year. Re-appointment thereafter will be subject to performance review and course availability.

Salary will be commensurate with qualifications and experience.

Application Procedure

Applicants are invited to submit a full curriculum vitae, a cover letter indicating the course(s) applied for and relevant expertise, and evidence of teaching effectiveness (if available) at the HKBU e-Recruitment System. Review of applications will begin upon receipt and continue until the positions are filled. Those who are not invited for an interview 8 weeks after submission may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement are available at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. Enquiries may be directed to Dr. Liang LAN (lanliang@hkbu.edu.hk).

The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer

Application deadline: 1 February 2027