Music & Arts Learning (MALer) Lab (@ Dept. Art & Technology, Sogang University) aims to understand music through computational approaches, with a focus on deep learning. Our research spans broad areas of music information retrieval, including music generation, computational musicology, and music modality translation. Our research encompasses diverse musical genres, with special emphasis on Korean traditional music and Western classical music. The ultimate goal of our work is to deepen our understanding of music and contribute to the preservation and flourishing of diverse musical cultural heritages.

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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.