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PhD position at SACEM / IRCAM on automatic identification of musical works

(Apologies for cross-posting)


Introduction to SACEM

SACEM (Society of Authors, Composers and Publishers of Music) is a French professional association collecting payments of artists’ rights and distributing the rights to the original songwriters, composers, and music publishers. It is a non-profit non-trading entity owned and managed by its members according to the business model of a cooperative. To guarantee authors’ intellectual property rights over their works, SACEM collects and distributes royalties, thereby playing a crucial economic role to preserve musical creation.

Introduction to IRCAM: IRCAM is a leading non-profit organization associated to Centre Pompidou, dedicated to music production, R&D and education in sound and music technologies. It hosts composers, researchers and students from many countries cooperating in contemporary music production, scientific and applied research. The main topics addressed in its R&D department include acoustics, audio signal processing, computer music, interaction technologies and musicology. Ircam is located in the centre of Paris near the Centre Pompidou, at 1, Place Igor Stravinsky 75004 Paris.


Description of the PHD research

The goal of the PHD is to develop innovative and efficient algorithms for the identification of musical works (ISWC code, not the identification of recordings denoted by ISRC) at scale. The PHD student will rely on pre-existing works performed at IRCAM and on the current literature of the field. The final application targets the identification of musical content as hosted by online platforms from the audio signal only (without using external meta-data). For this, the PHD student will study methods based on the extraction of audio signature representative of the musical works and algorithms for comparison of those at-scale, extraction of dominant melody and algorithms for comparison of those at-scale, audio to score alignment at scale any innovative algorithms that allow improving musical work identification.


Description of the PHD position

The PHD student will be hired by SACEM as a researcher for interdisciplinary project. He/she will be hired as a 36 months short-term contract. The scientific supervision of the PHD will be done by IRCAM. 


Required profile:

- Student with at least a Master 2 degree

- Very good knowledge in computer science, audio signal processing and machine learning

- Good knowledge of big data issues and solutions (data scientist profiles are welcome)

- Good knowledge of Linux, Windows, Mac-OS environments 

- Good knowledge of Matlab and/or Python, Java


Starting date

September the 1st, 2016 



Please send an application letter with the reference "Cifre/CR" together with your resume and any suitable information addressing the above issues by email to drh.recrutement@xxxxxxxx with cc to geoffroy.peeters@xxxxxxxx.