2 Post-Doc/Research positions in Audio Music Content Analysis
Project: 'Dig that Lick: Analyzing large-scale data for melodic patterns in jazz performances'
Place: IRCAM & L2S, Paris, France
Duration: 2 years and 1 year
Start: October 1st, 2017
Salary: according to background and experience


IRCAM ( www.ircam.fr ) and L2S at University Paris Saclay ( www.l2s.centralesupelec.fr ) are jointly offering two new PostDoc positions for our current international project Dig that Lick: Analyzing large-scale data for melodic patterns in jazz performances ( dig-that-lick.eecs.qmul.ac.uk ). The project gathers six different universities across four countries (USA, UK, Germany, France).

The planned dates for the project are: 1 Oct 2017 - 30 Sep 2019.

* About the 'Dig that Lick' project: *
The recorded legacy of jazz spans a century and provides a vast corpus of data documenting its development. Recent advances in digital signal processing and data analysis technologies enable automatic recognition of musical structures and their linkage through metadata to historical and social context. Automatic metadata extraction and aggregation give unprecedented access to large collections, fostering new interdisciplinary research opportunities. This project aims to develop innovative technological and music-analytical methods to gain fresh insight into jazz history by bringing together renowned scholars and results from several high-profile projects. Musicologists and computer scientists will together create a deeper and more comprehensive understanding of jazz in its social and cultural context. We exemplify our methods via a full cycle of analysis of melodic patterns, or licks, from audio recordings to an aesthetically contextualised and historically situated understanding.
More information can be found at: dig-that-lick.eecs.qmul.ac.uk


* Position description: *
Dig that Lick relies on audio music content analysis algorithms. IRCAM & L2S are looking for 2 Post-Doctoral Research assistants (starting Oct. 1st, 2017) for the development of MIR algorithms:
? one 24-month post-doctoral position to develop robust algorithms for automatic melody extraction (AME) from audio signals
? one 12-month post-doctoral position to develop robust algorithms for automatic analysis of harmonic and metrical structure from audio signals

* Required profiles: *
? High skills in audio signal processing and in machine learning (the candidate should preferably hold a PHD in one of these fields)
? High skills in Matlab and/or Python programming
? Good knowledge of Linux, Windows, Mac-OS environments
? High productivity, methodical works, ability to work independently and in a creative way, excellent programming style.
? Strong communication skills in English (French is not required)
? Interest/background in Jazz music will be appreciated

The hired researchers will collaborate with the development team and participate in the project activities (evaluation of technologies, meetings, specifications, reports). Strong interactions with teams from the other participating universities are expected.

* Application Procedure / More information: *
Applications must include a detailed CV with a list of publications and a motivation letter. Applications and any suitable information are to be emailed to: H. Papadopoulos [ircam.l2s.digthatlick@gmail.com] and G. Peeters [peeters at ircam dot fr]