Subject: [AUDITORY] Three postdoctoral positions on machine learning and speech processing From: Emmanuel Vincent <emmanuel.vincent@xxxxxxxx> Date: Tue, 18 Sep 2018 22:22:32 +0200 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>This is a multi-part message in MIME format. --------------BE3573D3883B5E07BD675CA2 Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum2.it.mcgill.ca id w8IKMZfL007672 Inria is seeking 3 postdoctoral researchers for a new European (H2020 ICT= ) collaborative project called COMPRISE. COMPRISE is a 3-year Research an= d Innovation Action (RIA) aiming at new cost-effective, multilingual, pri= vacy-driven voice interaction technology. This will be achieved through r= esearch advances in privacy-driven machine learning, personalized trainin= g, automatic data labeling, and tighter integration of speech and dialog = processing with machine translation. The technology will be based on exis= ting software toolkits (Kaldi speech-to-text, Platon dialog processing, T= ilde text-to-speech), as well as new software resulting from these resear= ch efforts. The consortium includes academic and industrial partners in France (Inria= <https://www.inria.fr/en/>,Netfective Technology <https://www.bluage.com= />), Germany (Ascora <https://ascora.net/>,Saarland University <https://w= ww.uni-saarland.de/nc/en/home.html>), Latvia (Tilde <https://www.tilde.co= m/>), and Spain (Rooter <https://www.rooter.es/home>). The successful can= didates will be part of theMultispeech <https://team.inria.fr/multispeech= /> team in Nancy or theMagnet <https://team.inria.fr/magnet/> team in L= ille. Both teams will work in tight collaboration. Topics include: * weakly-supervised, semi-supervised learning, learning with partial fe= edback * theoretical aspects and formal guarantees in private machine learning= , * representation learning and deep learning for speech processing, * learning on the edge, federated learning and personalized learning. Both theoretical and practical aspects will be developed, possibly by dif= ferent candidates depending on their skills. *Desired profile:* Two alternative profiles are welcome, either: * strong background in mathematics, machine learning, statistics and al= gorithms, or * strong experience with implementation and experimentation, speech pro= cessing, natural language processing, user modeling. *Application deadline:* October 19, 2018 *Starting date:* January 1, 2019 or later *Duration:* 2 years (renewable) *Location:* Nancy or Lille, France *Salary:* from 2,130 to 2,520 EUR net/month, according to experience *For more details and to apply:* https://jobs.inria.fr/public/classic/en/offres/2018-01045 https://jobs.inria.fr/public/classic/en/offres/2018-01044 https://jobs.inria.fr/public/classic/en/offres/2018-01038 --=20 Emmanuel Vincent Multispeech Project-Team Inria Nancy - Grand Est 615 rue du Jardin Botanique, 54600 Villers-l=C3=A8s-Nancy, France Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319 Web: http://members.loria.fr/evincent/ --------------BE3573D3883B5E07BD675CA2 Content-Type: text/html; charset=utf-8 Content-Transfer-Encoding: quoted-printable X-MIME-Autoconverted: from 8bit to quoted-printable by edgeum2.it.mcgill.ca id w8IKMZfL007672 <html> <head> <meta http-equiv=3D"content-type" content=3D"text/html; charset=3Dutf= -8"> </head> <body text=3D"#000000" bgcolor=3D"#FFFFFF"> <pre wrap=3D"">Inria is seeking 3 postdoctoral researchers for a new = European (H2020 ICT) collaborative project called COMPRISE. COMPRISE is a= 3-year Research and Innovation Action (RIA) aiming at new cost-effective= , multilingual, privacy-driven voice interaction technology. This will be= achieved through research advances in privacy-driven machine learning, p= ersonalized training, automatic data labeling, and tighter integration of= speech and dialog processing with machine translation. The technology wi= ll be based on existing software toolkits (Kaldi speech-to-text, Platon d= ialog processing, Tilde text-to-speech), as well as new software resultin= g from these research efforts. The consortium includes academic and industrial partners in France (<a mo= z-do-not-send=3D"true" href=3D"https://www.inria.fr/en/">Inria</a>, <a mo= z-do-not-send=3D"true" href=3D"https://www.bluage.com/">Netfective Techno= logy</a>), Germany (<a moz-do-not-send=3D"true" href=3D"https://ascora.ne= t/">Ascora</a>, <a moz-do-not-send=3D"true" href=3D"https://www.uni-saarl= and.de/nc/en/home.html">Saarland University</a>), Latvia (<a moz-do-not-s= end=3D"true" href=3D"https://www.tilde.com/">Tilde</a>), and Spain (<a mo= z-do-not-send=3D"true" href=3D"https://www.rooter.es/home">Rooter</a>). T= he successful candidates will be part of the <a moz-do-not-send=3D"true" = href=3D"https://team.inria.fr/multispeech/">Multispeech</a> team in Nancy= or the <a moz-do-not-send=3D"true" href=3D"https://team.inria.fr/magnet/= ">Magnet</a> team in Lille. Both teams will work in tight collaboration. Topics include: * weakly-supervised, semi-supervised learning, learning with partial fee= dback * theoretical aspects and formal guarantees in private machine learning, * representation learning and deep learning for speech processing, * learning on the edge, federated learning and personalized learning. Both theoretical and practical aspects will be developed, possibly by dif= ferent candidates depending on their skills. <b>Desired profile:</b> Two alternative profiles are welcome, either: * strong background in mathematics, machine learning, statistics and alg= orithms, or * strong experience with implementation and experimentation, speech proc= essing, natural language processing, user modeling. <b>Application deadline:</b> October 19, 2018 <b>Starting date:</b> January 1, 2019 or later <b>Duration:</b> 2 years (renewable) <b>Location:</b> Nancy or Lille, France <b>Salary:</b> from 2,130 to 2,520 EUR net/month, according to experience <b>For more details and to apply:</b> <a class=3D"moz-txt-link-freetext" href=3D"https://jobs.inria.fr/public/c= lassic/en/offres/2018-01045">https://jobs.inria.fr/public/classic/en/offr= es/2018-01045</a> <a class=3D"moz-txt-link-freetext" href=3D"https://jobs.inria.fr/public/c= lassic/en/offres/2018-01044">https://jobs.inria.fr/public/classic/en/offr= es/2018-01044</a> <a class=3D"moz-txt-link-freetext" href=3D"https://jobs.inria.fr/public/c= lassic/en/offres/2018-01038">https://jobs.inria.fr/public/classic/en/offr= es/2018-01038</a></pre> <pre class=3D"moz-signature" cols=3D"72">--=20 Emmanuel Vincent Multispeech Project-Team Inria Nancy - Grand Est 615 rue du Jardin Botanique, 54600 Villers-l=C3=A8s-Nancy, France Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319 Web: <a class=3D"moz-txt-link-freetext" href=3D"http://members.loria.fr/e= vincent/">http://members.loria.fr/evincent/</a> </pre> </body> </html> --------------BE3573D3883B5E07BD675CA2--