Research Assistant in Text-to-Music Models

Our team at the Singapore University of Technology and Design (SUTD) is looking at generative AI models for music. You will join our Audio, Music, and AI (AMAAI) Lab supervised by Prof. Dorien Herremans. At our lab, we aim to advance the state-of-the-art in AI for music and audio.

Responsibilities:

• Large-scale music feature extraction.
• Conduct advanced research in the development and enhancement of text-to-music models.
• Collaborate with interdisciplinary teams to integrate the latest diffusion and Large Language Model (LLM) technologies into the project.
• Leverage expertise in AI to advance the capabilities of text-to-music models.
• Explore innovative applications of music technology within the context of the project.
• Publish research findings in top-tier conferences and journals.
• Collaborate with graduate students on related projects.

Qualifications:

• Bachelor or Master in Computer Science, Artificial Intelligence, Music Technology, or a related field.
• Strong background in AI, including experience with the latest diffusion, music generation, and LLM technologies.
• In-depth knowledge of music technology.
• Proven track record of research excellence as demonstrated by publications in reputable conferences and journals.
• Excellent programming skills and proficiency in programming languages (e.g., PyTorch).
• Ability to work independently and collaboratively in a team.
• Prior experience with the development of text-to-music models, or generative audio or music models is a bonus.
• Familiarity with music theory and MIR is a bonus.