En poursuivant votre navigation sur ce site, vous acceptez le dépôt de cookies dans votre navigateur. (En savoir plus)
Portail > Offres > Offre UMR5216-CHRROM-014 - H/F Offre poste de Post-doc "Traitement de lectures enfantines à haute voix"

H/F Post-doc position "Processing of children' aloud readings"

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mardi 1 décembre 2020

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler. Les informations de votre profil complètent celles associées à chaque candidature. Afin d’augmenter votre visibilité sur notre Portail Emploi et ainsi permettre aux recruteurs de consulter votre profil candidat, vous avez la possibilité de déposer votre CV dans notre CVThèque en un clic !

Faites connaître cette offre !

General information

Reference : UMR5216-CHRROM-014
Date of publication : Tuesday, November 10, 2020
Type of Contract : FTC Scientist
Contract Period : 7 months
Expected date of employment : 1 February 2021
Proportion of work : Full time
Remuneration : From € 2,648.79 to € 3,768.24 depending on experience
Desired level of education : PhD
Experience required : Indifferent


This work is part of the e-FRAN Fluence project, where the reading skills of cohorts of children from CP to CE2 are assessed and trained. In this context, the GIPSA-Lab is testing the benefits of ELARGIR, a software based on the Karaoke technique, where the child reads aloud a text spoken at the same time by an adult. A final school experimentation campaign is planned for the first semester of 2021 to compensate for the 2020 campaign halted by the health crisis. The post-doc will be responsible for monitoring the experiments, collecting and processing acoustic data.


The post-doc will be responsible for following the last experiment in assisted reading in CE1. The post-doc will make sure to recover the speech signals and carry out their semi-automatic labeling. While awaiting the experiments, the first half of the semester will be dedicated to the analysis of a reading corpus from a longitudinal study carried out in parallel on 50 readers from CE1 to CM2.


Expertise : Phonetic labelling of speech; statistical modeling; evaluation framework of reading fluency
Know-how :Team work; supervisory skills (speech therapy thesis)

Work Context

Gipsa-lab is a CNRS research unit joint, Grenoble-INP (Grenoble Institute of Technology), University of Grenoble Alpes. It has agreement with Inria, Observatory of Sciences of the Universe of Grenoble.

With 350 people including 150 Ph.D students, Gipsa-lab is a multidisciplinary research unit developing both basic and applied researches on complex signals and systems.

Gipsa-lab develops projects in the strategic areas of energy, environment, communication, intelligent systems, life and health and linguistic engineering.

Thanks to its research activities, Gipsa-lab has a constant link with the economic environment through a strong partnership with companies.

Gipsa-lab staff is involved in teaching and training in different departments and engineering schools of the Grenoble academic area (Université Grenoble Alpes).

Gipsa-lab is internationally recognized for the research achieved in Automatic & Diagnostics, Signal Image Information Data Sciences, Speech and Cognition. The Lab is organized in 16 teams in 4 centers
.Automatic & Diagnostic
.Data Science
.Geometry, Learning, Information and Algorithms
.Speech -cognition

Gipsa-lab : 150 permanent staff and around 250 no-permanent staff (Phd, post-doctoral students, visiting scholars, trainees in master…)

The Post-Doc will work within the CRISSP team, made up of 7 researchers and teacher-researchers, two CNRS research engineers and around ten doctoral students and contractual agents. The post-doc will work under the supervision of Gérard Bailly, DR CNRS and will collaborate within the Fluence project with Sonia Mandin, project manager and all three partner teams, in conjunction with the teams from the Grenoble rectorate..

We talk about it on Twitter!