Research Associate in Music and Artificial Intelligence
Explore the intersection of music and AI to advance creative agency, artificial creativity, and health applications.
Best for:Best for AI researchers with a PhD in machine learning, computer science, or a related field, who are passionate about interdisciplinary collaboration and creative applications of AI in music and health.
Overview
The University of Cambridge’s Faculty of Music seeks a Research Associate to investigate how AI can empower musicians, foster true creativity, and enhance health and wellbeing through music. Based in the Centre for Music and Science, the role involves leading a multi-year research project, collaborating with interdisciplinary teams including the Centre for Human-Inspired Artificial Intelligence and the Leverhulme Centre for the Future of Intelligence. The successful candidate will develop machine-learning systems, publish research, and contribute to teaching at both undergraduate and postgraduate levels. This fixed-term position offers a unique opportunity to bridge computational science and creative arts in a world-leading research environment.
What you'll do
- Develop and evaluate machine-learning systems for music-related applications, focusing on one or more of the proposed research topics (e.g., enhancing musical creativity, fostering artificial creativity, or improving health and wellbeing through music).
- Conduct independent research and publish findings in high-quality academic journals and conferences.
- Collaborate with colleagues in the Centre for Music and Science, CHIA, and the Department of Computer Science to advance interdisciplinary research.
- Deliver teaching at undergraduate and postgraduate levels, contributing to curriculum development and student mentorship.
- Engage with the broader research community by participating in workshops, conferences, and public outreach initiatives.
- Utilize state-of-the-art facilities, including professional concert halls, music libraries, and specialized research studios.
Requirements
Degree required: PhD in machine learning, computer science, or a related discipline
Language: English; proficiency appropriate for academic research and teaching
Instruction: English
Publications: Record of, or clear potential for, outstanding research output
- Proven expertise in developing, adapting, or evaluating machine-learning systems, particularly in creative or music-related domains.
- Strong computational skills and experience with AI/ML methodologies.
- Record of, or clear potential for, outstanding research output.
- Ability to work collaboratively across disciplines, including music, cognitive science, and computer science.
- Experience in interdisciplinary research environments.
- Open to all eligible candidates; no specific nationality or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-21 (Europe/London)
Applicants must register an account with the University of Cambridge’s recruitment system and submit their application online. Required documents include a CV, cover letter, and research statement. Further details on application requirements are available in the provided advertisement.
- CV
- Cover letter
- Research statement
Contact
David Trippett· Professor
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.