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JOB DETAILS

Part-time Lecturer, School of Communication

CompanyHong Kong Baptist University
LocationHong Kong
Work ModeOn Site
PostedSeptember 14, 2026
About The Company
Hong Kong Baptist University currently offers over 40 Taught Postgraduate Programmes in diverse disciplines with over 2,000 graduates annually. Most of the Master’s degree programmes last for 1 year in full-time mode, and 2 years in part-time mode. The professional doctoral degree programmes normally last for 3 years in full-time mode, and 6 years in part-time mode. Each programme has its specific objectives, salient features and uniqueness. The Academic Registry (AR) is one of the key units in supporting the University's mission by providing a variety of professional services to our stakeholders and the community at large. Our various Sections (namely Academic Affairs Section, Academic Quality Support Section, Admissions Office, Undergraduate Studies Section and Taught Postgraduate Studies Section) offer a wide range of support and services to prospective students, students, graduates, staff members and the public, covering admissions of quality students, academic quality assurance, scheduling of classes and examinations, student record services and administrative support to Senate and its Committees. We are committed to continuous development and improvement of our professional services. You are invited to browse our website for more information for prospective students, current students and staff. We hope that you will find this website informative and useful.
About the Role

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

Key Skills
Generative AIAI Agent DevelopmentProduct ManagementBig Data AnalyticsDigital MediaArtificial IntelligenceMachine LearningDesign ThinkingBusiness StrategyData-driven ProductsTeachingMentoringCurriculum DevelopmentAssessment DesignCommunication Skills
Categories
EducationCreative & MediaTechnologyData & AnalyticsManagement & Leadership
Job Information
📋Core Responsibilities
The lecturer is responsible for delivering 13 weekly three-hour in-person sessions for postgraduate courses in AI and Digital Media. Additional duties include preparing teaching materials, administering assessments, grading student work, and providing student consultation.
📋Job Type
part time
📊Experience Level
5-10
💼Company Size
6
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
3 hours
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