Connectionists: Research assistant position on private machine learning for speech processing

[Emmanuel Vincent]

Dear list,

Inria is opening a fixed-term research assistant position on private 
machine learning for speech processing as part of the French national 
collaborative project ANR DEEP-PRIVACY. The successful candidate will be 
part of the Magnet team in Lille, which focuses on privacy-friendly, 
decentralized and/or graph-based machine learning. He/she will work in 
tight collaboration with the Multispeech team in Nancy, which focuses on 
automatic speech recognition and speech synthesis.

The goal of DEEP-PRIVACY is to learn automatic speech recognition (ASR) 
systems from speech representations that hide speaker identity. 
Additional requirements such as decentralized learning, gender fairness, 
or data efficiency may be considered.

Depending on her/his profile, the candidate will address the following 
research questions:
- how to design privacy attacks on ASR and design counter-measures;
- how to learn private representations of speech from adversarial 
training with many attackers;
- how to design fair and private speech representations;
- how to adapt such methods in the decentralized setting (e.g. federated 
or fully decentralized learning);
- how to formally define and measure the trade-off between accuracy, 
fairness, or privacy at the global and individual levels.

Application deadline: applications will be assessed on a rolling basis; 
please apply as soon as possible.

Starting date: November 1, 2021 or later
Duration: 1.5 year (renewable)
Location: Lille, France
Salary: from 2,050 to 2,130 net/month, according to experience

For more details and to apply:
https://jobs.inria.fr/public/classic/en/offres/2021-04039 (for MSc 
graduates)
https://jobs.inria.fr/public/classic/en/offres/2021-04034 (for PhD 
graduates)

Emmanuel

-- 
Emmanuel Vincent
Senior Research Scientist & Deputy Head of Science
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: http://members.loria.fr/evincent/

Coordinator of H2020 COMPRISE
Cost-effective, Multilingual, Privacy-driven voice-enabled Services
https://www.compriseh2020.eu/