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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Due to our current funding situation, it is difficult for us to take on new students. For the time being, we are unable to guarantee financial support, including tuition and a monthly stipend, for incoming Master’s/Ph.D. students. Partial support may be available for students in the Department of Art & Technology if selected for the Professional Manpower Training for XR (XR 전문인력양성사업), though this is not guaranteed. We therefore ask that you consider applying only if you are able to secure your own funding (e.g., external scholarships or self-funding).

(현재로서는 신입생을 새로 받기 어려운 상황이며, 당분간 신입생에게 등록금 및 인건비 지원을 보장하기 어렵습니다. 아트&테크놀로지학과의 경우 XR 전문인력양성사업에 선정될 경우 일부 지원이 가능할 수 있으나, 이 역시 보장되지는 않습니다. 따라서 기본적으로 self-funding(자비 또는 외부 장학금 등)이 가능한 경우에 한해 지원을 고려해 주시기 바랍니다.)

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.