Dear Colleagues,
apologies for cross-posting.
We are looking for a Researcher associate/ Post-Doc / Research Engineer (W/M)
at IRCAM (12 months short term position) in spatial audio signal processing and
machine learning for audio augmented applications.
Thank you for circulating this message to your contacts.
https://www.ircam.fr/job-offer/chargees-de-recherchedeveloppement-post-doc
best regards,
Olivier
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
* * * * * * * * * * * * * * * * * * * * * * * * * * * * *
*_POSITION_* :
The Acoustic and Cognitive Spaces team (STMS Labs, IRCAM, Paris, FRANCE)
is opening a 12 months postdoc position to work on spatial audio signal
processing and machine learning for augmented reality applications.
Availability : not later than 1st of November 2022.
*_INTRODUCTION TO IRCAM_* :
IRCAM is a non-profit association, associated with the Centre National
d'Art et de Culture Georges Pompidou and located in Paris at 1, place
Igor Stravinsky, 75004 PARIS. Its missions include research, creation
and pedagogical activities on 20th century music and its relationship
with science and technology.
*_PROJECT DESCRIPTION :_*
Within the framework of the HAIKUS research project financed by the ANR
(French National Research Agency), IRCAM is recruiting a Research and
Development Officer on a 12-month fixed-term contract. The objective of
the HAIKUS project is the joint exploitation of machine learning (ML)
and audio signal processing methods to solve acoustic problems
encountered in audio augmented (AA) reality applications. In particular,
the AA methods are applied to automatically identify the acoustic
channel between one or more sources and the listener. The three main
objectives of the project are (a) the blind estimation of the acoustic
cues of the room and/or its geometry from the observation of the
reverberated audio signals emanating from the sources present in the
room, (b) the inference of rules for modifying the spatialization
parameters or interpolating room impulse responses according to the
listener's movements, and (c) the blind estimation of the listener's
HRTFs from the binaural signals captured in the environment thanks to
in-ear microphones. In the framework of this project, IRCAM is more
particularly interested in this last objective, but the links with the
two previous questions are naturally important.
The project is coordinated by IRCAM and brings together the LORIA in
Nancy and the MPIA laboratory of Sorbonne University. These three
laboratories share expertise in audio signal processing, machine
learning, acoustic imaging and modeling, and binaural technologies.
The project takes place within the Acoustic and Cognitive Spaces team
(EAC), integrated into the UMR STMS IRCAM/CNRS/Sorbonne
University/Ministry of Culture. The EAC team (Acoustic and Cognitive
Spaces) is particularly interested in the analysis/synthesis and
perception of immersive sound scenes.
*_POSITION DESCRIPTION :_*
* Automatic selection of HRTFs (Head Related Transfer Functions) among
public HRTF databases from binaural recordings in unsupervised
conditions (non anechoïc conditions, unknown signals, moving
sources, moving listener).
* Tests and improvement of DNN algorithms developed in the team
applied to simple real-world use cases (single source, moderate and
diffuse reverberation).
* Extension of the DNN algorithms for automatic HRTF estimation, i.e.
without relying on measured HRTFs databases.
* Extension of previous methods and algorithms in order to take into
account environments with significant first reflections.
* Contribution to the development/recording of training and test
databases.
*_REQUIRED EXPERIENCES ET SKILLS_* :
* The candidate should have a PhD degree with a strong component in
machine learning and audio signal processing.
* Extensive knowledge of deep learning algorithms and experience with
their application to the audio domain.
* Excellent knowledge of Python and Tensorflow.
* Good knowledge of Linux and Mac OS X.
* Excellent level of English.
* Experience in writing peer-reviewed journal/conference papers.
*_SALARY_* : According to background and experience.
*_DEADLINE FOR APPLICATION_**: 30 septembre*, 2022
_AVAILABILITY_ : as soon as possible, not later than 1st November 2022
SITE :
https://www.ircam.fr/job-offer/chargees-de-recherchedeveloppement-post-doc
Please send a cover letter with reference 2022_HAIKUS, a CV detailing
the level of experience/expertise in the above-mentioned areas (and any
other relevant information) and letters of recommendation to
[email protected]
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