Subject: [AUDITORY] Two postdoctoral positions on privacy-friendly, decentralized learning for ASR From: Emmanuel Vincent <emmanuel.vincent@xxxxxxxx> Date: Tue, 30 Oct 2018 23:17:22 +0100 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>Dear list, The application deadline for these two positions has been postponed: https://jobs.inria.fr/public/classic/en/offres/2018-01045 https://jobs.inria.fr/public/classic/en/offres/2018-01044 Note that: - the starting date is flexible (until summer 2019) - you do not need to hold a PhD yet, provided you are about to obtain=20 one or you can demonstrate significant equivalent experience Applications will be assessed on a rolling basis; please apply as soon=20 as possible. We are looking forward to your application. --=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/ Le 18/09/2018 =C3=A0 22:22, Emmanuel Vincent a =C3=A9crit=C2=A0: > Inria is seeking 3 postdoctoral researchers for a new European (H2020 I= CT) collaborative project called COMPRISE. COMPRISE is a 3-year Research = and Innovation Action (RIA) aiming at new cost-effective, multilingual, p= rivacy-driven voice interaction technology. This will be achieved through= research advances in privacy-driven machine learning, personalized train= ing, automatic data labeling, and tighter integration of speech and dialo= g processing with machine translation. The technology will be based on ex= isting software toolkits (Kaldi speech-to-text, Platon dialog processing,= Tilde text-to-speech), as well as new software resulting from these rese= arch efforts. >=20 > The consortium includes academic and industrial partners in France (Inr= ia <https://www.inria.fr/en/>,Netfective Technology <https://www.bluage= .com/>), Germany (Ascora <https://ascora.net/>,Saarland University <htt= ps://www.uni-saarland.de/nc/en/home.html>), Latvia (Tilde <https://www.t= ilde.com/>), and Spain (Rooter <https://www.rooter.es/home>). The succes= sful candidates will be part of theMultispeech <https://team.inria.fr/mu= ltispeech/> team in Nancy or theMagnet <https://team.inria.fr/magnet/> = team in Lille. Both teams will work in tight collaboration. >=20 > Topics include: >=20 > * weakly-supervised, semi-supervised learning, learning with partial = feedback > * theoretical aspects and formal guarantees in private machine learni= ng, > * representation learning and deep learning for speech processing, > * learning on the edge, federated learning and personalized learning. >=20 > Both theoretical and practical aspects will be developed, possibly by d= ifferent candidates depending on their skills. >=20 > *Desired profile:* >=20 > Two alternative profiles are welcome, either: >=20 > * strong background in mathematics, machine learning, statistics and = algorithms, >=20 > or >=20 > * strong experience with implementation and experimentation, speech p= rocessing, natural language processing, user modeling. >=20 > *Application deadline:* October 19, 2018 >=20 > *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 >=20 > *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 > --=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/ >=20