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EPFL’s Digital and Cognitive Musicology Lab (DCML), led by dhCenter member Martin Rohrmeier, is recruiting two new PhD candidates in the fields of computational modeling of music and music psychology and cognition. The application deadline for both positions is January 15, 2021.

PhD Position in Computational Modeling of Music

This position focuses on computational modeling and its intersection with music theory and cognition. Specifically, the project seeks to explore the connection between deep neural networks and symbolic models of musical structure.

The project will be joint with the Laboratory of Computational Neuroscience (LCN) under Prof. Wulfram Gerstner, and funded by the Latour chair of Digital Musicology and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme for the project “Principles of Musical Structure Building: Theory, Computation, and Cognition” (No 760081 – PMSB).

Candidates should have a master’s degree in computer science, mathematics, cognitive science, musicology, or a related field, as well as skills in statistics and computer programming. Advanced experience in data science, machine learning or mathematical modeling are desirable.

PhD Position in Music Psychology and Cognition

The research focus of this position is on music processing at the intersection of music theory and cognition. This project is also funded by the Latour chair of Digital Musicology and the European Research Council (ERC).

Candidates should have a master’s degree in psychology, cognitive science, musicology, or a related field, and skills in statistics and computer programming. Additional data science experience is an asset.

Application information

Both positions have a start date of March 15th, 2021, but this is flexible. All applications must be submitted online via the doctoral school of Digital Humanities (EDDH). Applications should include a CV, motivation letter directed to Martin Rohrmeier, and three academic references. Questions can be sent to dcml@epfl.ch.

View the DCML website for further details.

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