In the context of the UPF-BMAT Chair on AI and Music, we offer 2 paid PhD internships co-supervised by the MTG (UPF) & BMAT to cover topics that can be adapted to the candidate's background and interests. Possible areas include:

• Music Identification (Audio Fingerprinting and Version Identification)

• Music Metadata Processing with Natural Language Processing

• Explainable & Knowledge-based AI for Music Data

• Representation & Multimodal Learning

• Detection and Analysis of AI-generated Music

Requirements

• Currently pursuing a PhD (Master’s students might also be considered).

• Background in: Computer Science, Machine Learning, Music Information Retrieval, Natural Language Processing, Engineering, Mathematics, or related fields.

• Strong programming and machine learning skills

• Curiosity, critical thinking, and a strong sense of scientific rigor.

• Interest in contributing to a publication-oriented research project.

• Publications in relevant conferences or journals (ISMIR, ICASSP, ICML...)

What you will do

• Co-design and carry out a research project with joint supervision from MTG and BMAT.

• Develop ML/NLP/MIR models and evaluate them on real-world music datasets.

• Contribute to research documentation and publication preparation.

• Participate in internal research meetings and discussions with industry teams.

Internship Conditions

• Location: Barcelona

• Duration: 4 months (flexible start date; can occur any time during 2026).

• Compensation: This is a paid internship.

• Mobility support: We offer financial support for relocation or travel, depending on the intern’s needs.

More details and application: 2026 Research Internship - BMAT Music Innovators

Cátedra UPF-BMAT en Inteligencia Artificial y Música (TSI-100929-2023-1). Project funded by Secretaría de Estado de Digitalización e Inteligencia Artificial, the European Union-Next Generation EU, and by BMAT Music Innovators, the Music Operating System