[ 6. August 2016 ]

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

Von: Kevin Austin

Datum: Sat, 6 Aug 2016

Betreff: [cec-c] PhD position at SACEM / IRCAM on automatic

identification of musical works

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


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


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 todrh.recrutement@sacem.frwith cc