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Postdoctoral Researcher in Multilingual Speech Processing


The Expression research team focuses on expressiveness in human-centered data. In this context, the team has a strong activity in the field of speech processing, especially text-to-speech (TTS). This activity is denoted by regular publications in top international conferences and journals, exposing contributions in topics like machine learning (including deep learning), natural language processing, and speech processing.

Team Expression takes part in multiple collaborative projects. Among those, the current position will take part in a large European H2020 project focusing on the social integration of migrants in Europe.

Team’s website: https://www-expression.irisa.fr/


Main tasks:

  • Design multilingual TTS models (acoustic models, grapheme-to-phoneme, prosody, text normalization...)
  • Take part in porting the team’s TTS system for embedded environments
  • Develop spoken language skill assessment methods

Secondary tasks:

  • Collect speech data
  • Define use cases with the project partners

Environment: The successful candidate will integrate a team of other researchers and engineers working on the same topics.

Profil / compétences: 

Required qualification: PhD in computer science or signal processing Skills:

  • Statistical machine learning and deep learning
  • Speech processing and/or natural language processing
  • Strong object-oriented programming skills
  • Android and/or iOS programming are a strong plus
Diplôme requis: 
PhD in computer science or signal processing Skills
Lieu de travail: 
Type de contrat: 
22 months contract, full time
Durée du contrat (en mois): 
Corps / catégorie: 
Research Engineer
Salaire Brut / Mens €: 
competitive, depending on the experience
Date prévisionnelle d'embauche: 
Mercredi, 1. janvier 2020
Date prévisionnelle d'embauche: 
Le plus tôt possible
Date limite de candidature: 
Vendredi, 20. décembre 2019

Send a cover letter, a resume, and references by email to (all):

Applications will be processed on a daily basis.