PhD

The PhD program has a duration of 3 or 4 years. The students develop their research skills by carrying out a thesis under the supervision of a faculty member of the MTG, typically within a predefined research project and in close collaboration with other researchers of the group. By doing a PhD, the student develops a systematic understanding of the sound and music computing field and develops the skills and learns the research methods needed to conceive, design, and implement a substantial research plan with academic rigour. The result of the thesis is an original research that extends the frontiers of knowledge of the field at a level that merits international publication and that contributes to foster technological progress in both academic and professional contexts.

Information: www.upf.edu/web/etic/doctorat

Master in Sound and Music Computing

By doing this master, the students become competent with the state of the art of sound and music computing. The program combines practical and theoretical approaches in topics such as audio signal processing, machine learning, perception & cognition, interactive systems, computational musicology, and semantic technologies, giving the scientific and technological background needed to start a research or professional career. It prepares its students for the research and development tasks that support practical applications related to the analysis, description, synthesis, transformation, and production of sound and music signals.

Information: www.upf.edu/smc

Continuous training

The chair will help professionals in the music sector to improve their skills in the field of AI and music. Given the diversity of profiles and interests of these professionals, activities will be organized to cover the maximum number of profiles and interests and at the same time reach the largest number of professionals possible. Specifically, the following types of activities are proposed to be carried out: (1) development of open, online educational materials on various topics, (2) organization of conferences and seminars focused on specific groups and profiles, (3) organization of concerts and demonstrations where works and results are presented (4) participation in events where the general public can be raised awareness and trained on topics related to AI and music.

Activities organized:

Generative Music AI workshop (Dec 2023, June 2024): https://www.upf.edu/web/mtg/generative-music-ai-workshop

Seminar by Elio Quinton on AI in the Music Industry (Feb 2024): https://www.upf.edu/web/mtg/news/seminar-by-elio-quinton