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You want to submit a spontaneous application? There’s nothing easier! Contact us via the form below, indicating the department concerned: Artistic Direction, Research and Development, Communication, Production, Education and Cultural Outreach, IRCAM R...

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PhD

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Short term contract

Candidacies : until Aug. 24, 2020

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<p><u>THE PROJECT: </u></p> <p><strong>IRCAM</strong> is looking <strong>for candidates for a three years PhD project</strong> in the interdisciplinary research project HAIKUS funded by ANR (French National Research Agency).<br /> <br /> The objective of the project is to provide deep learning and audio signal processing methods for a seamless integration of computer-generated immersive audio content into Audio Augmented Reality (AAR) systems. This objective calls for an automatic adaptation of virtual auditory objects rendering to the permanently changing acoustics of the user’s real environment (e.g. when the sources move or when the user walks through one or several rooms of a venue). Three main challenges may be identified:<br /> 1/ the blind estimation of room acoustic parameters or room geometry from the observed reverberant audio signals and analysis of live sounds occuring in the room;<br /> 2/ the adhesion of the participant to the augmented scene also requires a realistic and congruent acoustic feedback induced by the navigation through the sound scene;<br /> 3/ Interactive augmented 3D audio scenes are typically rendered to binaural signals played over headphones. It is well known that convincing binaural reproduction requires individual Head Related Transfer Functions (HRTFs), which in ideal conditions should be measured in an anechoic chamber using calibrated signals. In the project, we aim at blindly estimating the individual HRTFs of the listener from binaural signals captured in real and non-supervised acoustic environments (i.e. not knowing the source signals nor their positions) by in-ear or ear-through earphones. <br /> <br /> The thesis will concentrate on the later challenge with obvious links to the two previous ones.<br /> <br /> The project brings together three public research laboratories IRCAM, LORIA (INRIA/Univ. Lorraine) and MPIA (Sorbonne Univ.) with skills and expertise in the fields of audio signal processing, machine learning, acoustic imaging, room acoustics modelling and binaural technologies.<br /> <br /> The PhD will be supervised by two senior researchers active in 3D audio signal processing and computer science. The thesis will be hosted at IRCAM, located in the centre of Paris near the Georges Pompidou Center, at 1, Place Igor Stravinsky 75004 Paris.<br /> <br /> IRCAM: (Institut de Recherche et Coordination Acoustique/Musique) is a leading non-profit organization associated to Centre Pompidou, dedicated to music production, scientific research and education in sound and music technologies. The Acoustic and Cognitive Spaces team is part of the research unit STMS (Science and Technology for Music and Sound) supported by IRCAM, CNRS and Sorbonne Université. <br /> <br /> <u>REQUIRED SKILLS:</u><br /> <br /> The candidate must hold a Master in computer science with strong knowledge/experience in artifical intelligence and audio signal processing. <br /> <br /> Excellent skills in Matlab, Python programming<br /> <br /> <strong>SALARY : </strong>monthly gross salary : 1900€</p> <p><strong>Deadline for application: 24th August 2020</strong></p> <p><strong>Expected starting period: 30th november at the latest</strong></p> <p>Please send an application letter with the <strong>reference 2020_HAIKUS</strong> together with your resume and any suitable information addressing the above challenges and letters of recommendation preferably by email to: <strong>warusfel at ircam dot fr </strong>with cc to giavitto at ircam dot fr .</p>

IRCAM is looking for candidates for a three years PhD project in the interdisciplinary research project HAIKUS funded by ANR (French National Research Agency). 30th november at the latest

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Assistant.e de production

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Permanent position

Candidacies : until July 31, 2020

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<p><u>PRÉSENTATION DE L’IRCAM</u> :</p> <p>L’IRCAM est une association à but non lucratif, associée au Centre national d'art et de culture Georges Pompidou, dont les missions comprennent des activités de recherche, de création et de pédagogie autour de la musique du XXème siècle et de ses relations avec les sciences et les technologies. L'IRCAM est situé en plein c&oelig;ur de Paris, à proximité du Centre Georges Pompidou, au 1 Place Igor Stravinsky 75004 Paris.</p> <p><u>DESCRIPTION DU POSTE :</u></p> <p>Sous l’autorité du Directeur de la production, vous assurez la réalisation et le suivi des activités administratives du département ; de la coordination à la mise en &oelig;uvre des dispositifs et outils nécessaires à leur conduite et leur évaluation.</p> <p><u>MISSIONS :</u></p> <p>Vos activités principales sont les suivantes :</p> <p>- Suivi administratif : des contrats d’édition, des conventions partenariales, et des plannings/congés des personnels permanents de l’équipe ;</p> <p>- Suivi opérationnel en lien avec la régie technique et du suivi administratif de l’événementiel (opérations de communication, colloques et événements liés à la recherche scientifique) ;</p> <p>- Gestion des contrats des intermittents en lien avec le service RH ;</p> <p>- Gestion de la location des espaces (planning, devis, accueil, facturation, lien avec la régie) ;</p> <p>- Suivi des outils informatiques partagés du service (Allegrissimo, Base de données, serveurs commun… : contrats prestataires, coordination des besoins, mise à jour des paramétrages de saison ou des fonctionnalités).</p> <p><u>EXPÉRIENCE ET COMPÉTENCES REQUISES :</u></p> <p>- De formation supérieure Bac+2 (type BTS/DUT) en administration ou gestion, vous avez une première expérience significative dans les domaines de l’événementiel ou culturel ; Vous souhaitez intégrer un service dédié à la création artistique, où le travail en équipe regroupant différents métiers est essentiel ;</p> <p>- Vous connaissez les règles en matière d’embauche d’intermittents techniques et artistiques, français et étrangers</p> <p>- Vous avez un sens aigu de l’organisation, du respect des objectifs et de la rigueur dans la gestion des tâches qui vous sont confiées. Vous êtes capable de construire vos outils de suivi administratif en fonction des besoins de l’environnement et de votre propre organisation du travail.</p> <p>- Vous aimez collaborer et trouver des solutions de gestion adaptées au profit de l’équipe et des autres services ;</p> <p>- Vous avez une maîtrise suffisante de la langue anglaise pour vous exprimer avec aisance dans les relations commerciales.</p> <p>- Vous maîtrisez les logiciels bureautiques et la connaissance du logiciel Allegrissimo serait un plus.</p> <p><u>SALAIRE :</u></p> <p>Selon formation et expérience professionnelle.</p> <p> </p>

L’Ircam recrute pour son Département Production, un(e) assistant.e de production, en contrat à durée indéterminée à compter du 1er septembre 2020

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PhD

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Short term contract

Candidacies : until July 15, 2020

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<h6>In the context of the H2020 European project <strong>AI4Media,</strong> IRCAM is searching to fill a non-permanent researcher position performing research on sound synthesis of musical instruments using deep learning, and on music information retrieval. The successful candidate will be working in collaboration with specialists in signal processing, music information retrieval and deep learning. He (she) is expected to be registered as a PhD student at Sorbonne University. </h6> <h6>Availability: September 2020</h6> <h6>Duration: 36 months</h6> <h6><u>INTRODUCTION TO IRCAM:</u> </h6> <h6>IRCAM is a non-profit organization that is associated to the Centre Pompidou (Centre national d’art et de culture Georges Pompidou). Its missions comprise research, production, and education related to contemporary music and its relation to science and technology. Within the STMS laboratory hosted at IRCAM specialized teams are conducting research and development in the areas of acoustics, sound signal processing, interaction, computer music and musicology. The present position is available in the analysis/synthesis team that conducts research on advanced signal processing algorithms and machine learning techniques for speech and music signal processing. IRCAM is located in the centre of Paris near the Centre Pompidou, at 1, Place Igor Stravinsky 75004 Paris.</h6> <h6> </h6> <h6><u>THE AI4MEDIAC PROJECT:</u></h6> <h6>The H2020 European project AI4Media aims to develop artificial intelligent tools for medias, multimedias and audiovisual. Among the applications targeted, are: monitoring and analysis of medias streams for the detection of breaking news, fake news, and for the checking of information; and also some applications related to artistic creation and video games.</h6> <h6> </h6> <h6><u>ROLE OF IRCAM IN</u> <u>THE AI4MEDIAC PROJECT:</u></h6> <h6>The analysis/synthesis team of IRCAM will develop innovative algorithms for realistic sound synthesis of musical instruments and music information retrieval. The development of the sound synthesis will be based on deep neural networks GANs (Generative Adversarial Networks), which will be used to automatically produce realistic musical sounds, starting from synthetic sounds made by a MIDI synthesizer. This approach will be used in the one hand for a musical creation purpose, and on the other hand to produce training datasets for various tasks in music information retrieval, such as: tempo estimation, key detection, chord recognition, automatic transcription, source separation. </h6> <h6> </h6> <h6><u>POSITION DESCRIPTION:</u></h6> <h6>The researcher will contribute to the project by means of research into musical signal processing and deep neural networks for the realization of the project at IRCAM. In addition to a theoretical work, some computer demonstrators will be developed in order to validate the scientific directions chosen. He(she) will publish scientific articles on his(her) research work,  will participate in all activities related to the project (specifications, meetings, evaluation, reporting), and is expected to defend his PhD thesis before the end of the contract.</h6> <h6> </h6> <h6><u>REQUIRED EXPERIENCES AND SKILLS: </u></h6> <ul> <li> <h6>Master degree covering sound signal processing and machine learning/deep learning.</h6> </li> <li> <h6>Excellent knowledge of and experience in signal models and time/frequency representations of sound signals.</h6> </li> <li> <h6>Very proficient in Python (NumPY/SciPY).</h6> </li> <li> <h6>Experience in programming with C/C++.</h6> </li> <li> <h6>Good knowledge of GNU/Linux.</h6> </li> <li> <h6>High productivity, capacity for methodical and autonomous work, creativity, good communication skills, rigor, and excellent programming style.</h6> </li> </ul> <h6><u>SALARY: 1900€</u></h6> <h6>According to background and experience.</h6> <h6>Applications</h6> <h6>Please send an application letter together with your resume and any suitable information addressing the above elements preferably by email to: roebel_at_ircam_dot_fr and mignot_at_ircam_dot_fr</h6> <h3>Deadline: 15.07.2020</h3> <p><strong> </strong></p> <p> </p> <p> </p>

Job offer: non permanent researcher (PhD - W/M) working on sound synthesis and music

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Candidature Spontanée

PhD

Assistant.e de production

PhD