Postdoctoral researcher for AI applied to music creation

hace 2 semanas


Barcelona, España Pompeu Fabra University A tiempo completo

Researcher to carry out scientific and technical activities into new AI methodologies of interest for music composition, production and performance, in the frame of the Chair AI and Music (Cátedra IA y Música) Train and support doctoral students who develop their doctoral thesis in Music and AI within the framework of the Chair (PT1-A1)Carry out research that allows the development of new AI methodologies based on deep learning that allow assistance in the different processes involved in music composition, production and performance. (1) methodologies based on deep learning to generate music, (2) source separation, analysis of musical patterns, and improvement of sound quality, (3) methodologies to assist the performer. (PT2-A4)Improving existing datasets and creating new ones useful for deep learning models (PT3-A8)Participate in the development of prototypes for specific applications of the technologies developed (PT3-A9)Requirements that candidates must meet GENERAL a) Be in possession of the Doctor's degree (PhD) b) Not having been separated by means of a disciplinary file from the service of any of the public administrations, nor having been disqualified by a final judgment for the performance of public functions. In the case of being a national of another State, not being disqualified or in an equivalent situation or having been subjected to a disciplinary or equivalent sanction that prevents, in their State, access to public jobs in the same terms . SPECIFIC Doctorate in engineering, computer science or related fields Research experience in music technology, especially related to creation, synthesis and interaction Experience in software design, development and testing Experience in managing large data collections Experience in supervising doctoral students Experience in technology



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