Fully-funded PhD fellowship, Music Information Retrieval at Télécom Paris & CentraleSupélec

Télécom Paris & CentraleSupélec are welcoming applications for a fully-funded PhD fellowship in computational music analysis, audio indexing, and machine learning to start in Fall 2021.

The fellowship is for 3 years including health insurance and a yearly stipend.

Télécom Paris and CentraleSupélec are closely located on the Plateau de Saclay (Paris outskirts). Accepted candidates will join the ADASP group at Télécom Paris and the GPI group at CentraleSupélec, both multidisciplinary teams of scholars and practitioners working at the intersection of sound, machine learning, and technology.

The PhD will be in close collaboration with New York University. The PhD student will have the opportunity to undertake international research stays during the course of his or her thesis.

Important Dates

Review of applications will start as soon as possible, and continue until June 10, 2021, or until the post is filled, whichever is earlier.


Telecom Paris and CentraleSupélec are French leading public institutions for engineering higher education (Grandes Ecoles) and scientific research, both founded in the 19th century. They are respectively part of the Institut Polytechnique de Paris and Université Paris-Saclay, both world-class scientific and technological institutions that embody the very best of what French higher education and research have to offer, recognized internationally for their level of excellence.

The ADASP group is hosted by the Information Processing and Communication Laboratory (LTCI), a Telecom Paris’ in-house research laboratory created in 1982. LTCI’s core subject areas are computer science, networks, data science, signal and image processing and digital communications. The laboratory is also active in issues related to systems engineering and applied mathematics.

The GPI team is hosted by the Laboratory of Signals and Systems (L2S, UMR 8506), a joint CNRS and CentraleSupélec laboratory created in 1974. Research at L2S focuses on fundamental and applied mathematical aspects of control theory, AI, data science, information, signal and image processing, communication, and network theory. More about the lab here.

Profile of the candidate

  • MSc. in one of the following areas: Computer Science, Machine Learning, Data Science, Signal Processing or Machine Listening
  • High skills in Matlab/Python programming
  • Good knowledge of Linux, Windows, Mac-OS environments
  • Strong communication skills in English (French is not required)
  • Interest/background in Jazz music will be appreciated

How to apply

The application shall be submitted via email ( mir.parissaclay@gmail.com and Slim Essid) as a single pdf file, including:

  • a letter of motivation
  • a complete and detailed curriculum vitae


Slim Essid (Coordinator of the ADASP group)