The Music Technology Group (MTG) at Universitat Pompeu Fabra in Barcelona is offering a postdoctoral fellowship focused on advancing multimodal AI methodologies for music and audio. The position is led by Prof. Xavier Serra, Full Professor and Director of the MTG, whose research spans audio signal processing, sound and music computing, music information retrieval, and computational musicology. The fellowship aims to develop innovative AI approaches for understanding and processing music and audio, with applications in music creation, distribution, education, and the preservation of musical heritage.

The ideal candidate will have a PhD in Artificial Intelligence, Machine Learning, or a related field, with expertise in multimodal data processing, reinforcement learning, or computational creativity. The role requires strong interdisciplinary collaboration skills and the ability to connect theoretical AI research with practical, real-world applications. The research environment at UPF offers state-of-the-art infrastructure, including high-performance computing resources, specialized audio-visual equipment, and access to large data collections for data-driven research.

The fellowship may include a secondment at BMAT Music Innovators, providing opportunities for industry collaboration. The MTG emphasizes open science, promoting open data, software, and access, while also encouraging innovation and societal impact. Research topics include sound and music description, information retrieval, singing voice synthesis, audio source separation, and music performance analysis for education.

Applicants are encouraged to contact Prof. Xavier Serra for further details and to discuss the application process. For more information, visit the MTG and Prof. Serra's academic pages. This opportunity is ideal for researchers passionate about AI, music technology, and interdisciplinary collaboration in a leading European research environment.