Postdoc position at SCRIME (2026)

• start : january 2026
• duration : 12 months (renewable)
• salary : to be determined, based on experience
• apply

The candidate is invited to propose a research project in the general fields of Music Information Retrieval, and Sound and Music Computing. The proposed project should be in line with the team's overall objective of developing approaches and tools to enrich and broaden access to musical practice. Approaches involving processing of data from guitar tablature and piano score corpora in classical and contemporary music repertoires are particularly welcome. Although not required, candidates are encouraged to propose a project that fits within one of the team's current major areas of focus:

• Algorithms to assist in the notation and composition of guitar tablature (TABASCO project - TABlature ASsisted COmposition). This area covers a number of issues, including:
  • Computational analysis of large tablature corpora
  • Contextual generation of tablature regions (inpainting, outpainting)
  • Style transfer on tablature
  • Position estimation from MIDI content (MIDI to tab)
  • Automatic transcription of audio content (audio to MIDI, audio to tab)
• Musical performance assisted and enriched by meta-instruments, in particular the Metapiano. The Metapiano is a simplified piano that allows a score to be interpreted by controlling only the rhythm and nuances of the notes. The project brings together multiple challenges, including:
  • Interpretation at different temporal scales (note, beat, measure, etc.) guided by tempo adaptation strategies
  • Development of simplified improvisation systems using meta-instruments
  • Development of synchronization strategies for multi-player use of the metapiano

The researcher's activities may include supervising internships (M1 or M2 level) or student projects in computer science at ENSEIRB-MATMECA or the University of Bordeaux, in connection with the proposed research project. As artistic creation and music education play an essential role in the team's projects, the researcher will be encouraged to establish collaborations with artists and teachers. The researcher will also be encouraged to publish and present their work at conferences and seminars organized by the community, as well as at outreach events aimed at the general public.

Finally, the researcher will take full part in the daily life of the team, which may involve, for example, organizing various cultural events for the general public or giving presentations to students.

Required profile

The candidate must have a PhD in computer science, or a related field, preferably on a topic related to sound or music data processing. Solid programming experience, particularly in Python and JavaScript, is essential. Significant experience in data science and machine learning will be highly appreciated.

The candidate must enjoy working in a team while demonstrating autonomy in their research project.

An interest in music, or at least a strong interest in music, is highly desirable.