Music and Art Learning (MALer) Lab (@ Dept. Art & Technology, Sogang University) aims to understand music and art computationally, especially through deep learning. Our research interests covers broad music information retrieval including computational modeling of music generation and music performance, computational musicology, and cross-modal generation. The ultimate goal of our research is to enhance artistic experiences in our society based on our computational understanding of music and art.

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We are currently seeking highly motivated Master’s/Ph.D. students who are interested in Deep Learning based Music Information Retrieval (MIR) especially for topics below:

• MIR for Music Education
• MIR for Korean Traditional Music (analysis and transcription)
• MIR for Western Classical Music (transcription, OMR, alignment, etc)
• Computational Musicology
• Symbolic Music Generation

For admission, you can refer following websites. But please contact here before you apply.

• Graduate Program at the Department of Art & Technology
• Graduate School of AI

If you’re interested in the research conducted in our lab, we highly recommend taking AATG015 - Deep Learning for Music & Audio as it provides a solid foundation for the work we do and will give you a head start on potential research projects in the future.