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<pre wrap="">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, personalized training, automatic data labeling, and tighter integration of speech and dialog processing with machine translation. The technology will be based on existing software toolkits (Kaldi speech-to-text, Platon dialog processing, Tilde text-to-speech), as well as new software resulting from these research efforts.
The consortium includes academic and industrial partners in France (<a moz-do-not-send="true" href="https://www.inria.fr/en/">Inria</a>, <a moz-do-not-send="true" href="https://www.bluage.com/">Netfective Technology</a>), Germany (<a moz-do-not-send="true" href="https://ascora.net/">Ascora</a>, <a moz-do-not-send="true" href="https://www.uni-saarland.de/nc/en/home.html">Saarland University</a>), Latvia (<a moz-do-not-send="true" href="https://www.tilde.com/">Tilde</a>), and Spain (<a moz-do-not-send="true" href="https://www.rooter.es/home">Rooter</a>). The successful candidates will be part of the <a moz-do-not-send="true" href="https://team.inria.fr/multispeech/">Multispeech</a> team in Nancy or the <a moz-do-not-send="true" href="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 feedback
* 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 different candidates depending on their skills.
<b>Desired profile:</b>
Two alternative profiles are welcome, either:
* strong background in mathematics, machine learning, statistics and algorithms,
or
* strong experience with implementation and experimentation, speech processing, 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="moz-txt-link-freetext" href="https://jobs.inria.fr/public/classic/en/offres/2018-01045">https://jobs.inria.fr/public/classic/en/offres/2018-01045</a>
<a class="moz-txt-link-freetext" href="https://jobs.inria.fr/public/classic/en/offres/2018-01044">https://jobs.inria.fr/public/classic/en/offres/2018-01044</a>
<a class="moz-txt-link-freetext" href="https://jobs.inria.fr/public/classic/en/offres/2018-01038">https://jobs.inria.fr/public/classic/en/offres/2018-01038</a></pre>
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Emmanuel Vincent
Multispeech Project-Team
Inria Nancy - Grand Est
615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France
Phone: +33 3 8359 3083 - Fax: +33 3 8327 8319
Web: <a class="moz-txt-link-freetext" href="http://members.loria.fr/evincent/">http://members.loria.fr/evincent/</a>
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