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Post Specification

TITLE :

Senior Lecturer / Lecturer (Music Technology)

Department of Digital Innovation and Technology

Ref No.: DDIT/SL(MT)/03/26

Major Duties:

The appointee shall report to the Programme Leader and Head of Department and engage in teaching and related learning activities in sound and/or music technology. The appointee will also contribute to programme and curriculum development, student learning support, and provide academic and administrative support for the Bachelor of Arts (Honours) in Music Technology programme. Key responsibilities include, but are not limited to:

  •  Delivering lectures and practical sessions on music technology, focusing on professional software such as Unity, Unreal Engine, and audio middleware (e.g., Wwise, FMOD);
  • Teaching the application and integration of Artificial Intelligence (AI) in music creation, sound design, and production workflows;
  • Instructing students in advanced audio processing, including Dolby Atmos and other immersive audio technologies;
  • Developing and updating the programme curriculum and assessment materials in line with industry trends;
  • Supporting students’ academic and practical learning, including the supervision of projects and portfolios; and
  • Participating in academic and scholarly activities and providing administrative support for the programme.

Requirements:

The successful candidate should have:

  • A recognised Master’s degree, preferably a Doctoral degree, in Sound or Music Technology, or related fields, with good professional standing.
  • At least 3 years of relevant teaching experience at tertiary level and/or relevant industry experience in relevant fields.
  • Proficiency in music production software and technology, with hands-on experience in Unity, Unreal Engine, Wwise, FMOD, and AI-based music creation tools.
  • Advanced knowledge of sound engineering, including immersive audio formats such as Dolby Atmos and related spatial/immersive audio workflows.
  • Basic knowledge and practical experience in coding/programming as applied to music technology (e.g. scripting in Unity/Unreal, Max/MSP, Pure Data, or similar environments).
  • An up-to-date understanding of industry trends and practices in music technology, interactive media, and related creative industries.
  • Good interpersonal and communication skills, and high proficiency in English and Chinese, including Putonghua. All classes are conducted in Putonghua.

 Candidates must also fulfil one of the following language criteria:

  • Mother tongue/language is Putonghua; or
  • Hold a recognised Bachelor’s degree or above of which the Medium of Instruction (MOI) was Putonghua; or
  • Have at least 3 years’ work experience in Chinese Mainland or other Putonghua speaking countries or regions; or
  • Have achieved at least Grade B, Level B2 in the Putonghua Shuiping Ceshi (PSC) – Putonghua Proficiency Test administered by the State Language Commission.

Notes:

(1) The post is at the rank of Teaching Fellow I.
(2) The appointee may be required to perform duties at different sites and outside Hong Kong, and work irregular hours, shifts, and on Saturdays and Sundays as necessary.
(3) The remuneration package will be competitive and commensurate with qualifications and experience.
(4) The appointee will work at the Chai Wan Campus.

Application Procedures:

A completed application form [THEi-HR-601 (Dec 2025)], together with a full curriculum vitae, should be sent to thei-jobs@thei.edu.hk.

Applicants should take note of the following:
(1) Completed application form and a detailed curriculum vitae (CV) should be combined into one file in PDF format with a file size below 10MB.
(2) The file should be saved with the applicant’s name as “surname and given name”, e.g. “CHAN Siu-lam.pdf”.
(3) For the email subject, please cite “Application for Senior Lecturer (Music Technology), DDIT (Ref No.: DDIT/SL(MT)/03/26)”.

Closing date for applications: 14 April 2026

The Institute reserves the right not to fill the post.  Personal data collected will be used for recruitment purposes only.  Information on unsuccessful candidates will normally be destroyed 12 months after the completion of the recruitment exercise.