"Computer Music-Associate Professor/Assistant Professor/Lecturer"

Job Details

Composition & Theory Division – Computer Music

1. Tenure-Stream

Associate Professor / Assistant Professor

2. Teaching-Stream

Lecturer

Job Description

The School of Music invites academic applications in Computer Music. We are seeking a forward-thinking scholar-practitioner with expertise in computer music, music production, film or game music composition. Candidates with a strong background in artificial intelligence (AI) applications in music will be given priority consideration.

1. Teach undergraduate and graduate courses in computer music, music production, film or game music composition, and related areas;
2. Develop and deliver courses that incorporate emerging technologies, including artificial intelligence and its applications in music;
3. Conduct research and creative projects in computer music, focusing on areas such as AI in music, algorithmic composition, sound design, or interactive systems;
4. Mentor students and supervise their projects and theses;
5. Collaborate with faculty across disciplines to foster innovative approaches in music and technology;
6. Contribute to curriculum development and the ongoing growth of the music program;
7. Maintain a strong national and international profile of research, creative activity, and scholarship.

Qualification Requirements

Required:

1. A terminal degree (Ph.D., DMA, or equivalent) in computer music, music technology, composition, or a closely related field;
2. A demonstrated record of creative and/or scholarly achievement in computer music, music production, film or game music;
3. Proficiency in relevant software, programming languages, and hardware for computer music, music production, and sound design;
4. Evidence of effective teaching at the university level.

Preferred:

1. Expertise in artificial intelligence and its integration into music composition and production.
2. Professional experience in film or game music composition or scoring.
3. Experience with interdisciplinary research or creative collaborations.

To apply

1. Please prepare documents as below:

• Full curriculum vitae in English which should contain your past working experiences (institution, position, employment period, etc.)
• Teaching Demo About 10 minutes teaching demo in English (MP4 version with synchronized audio and video), uploaded the video(s) to Baidu Netdisk or Onedrive, and put the link(s) in a separate PDF document for submission.
• Portfolio A portfolio of creative and/or scholarly work (e.g. recordings, scores, publications, software).

1. Please fill information and upload the materials listed above through the online application system: https://jobs.cuhk.edu.cn/jobDetails?id=597&channel=Chronicle
2. Information in the link marked with * are mandatory.
3. For “Reference List”, please fill the information of 3 referrers

Applicant information will be kept strictly confidential.