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CNRS

Just Landed

Postdoctoral Researcher: Design and Evaluation of French Sign Language Translation Algorithms CNRS in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 1, 2026

Country flag

Country

France

University

CNRS

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Keywords

Computer Science
Electrical Engineering
Information Technology
Natural Language Processing
Computer Vision
Sign Language
Machine Translation
Video Analytics
Linguistics

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About this position

This postdoctoral position is part of the ANR GestToSay project (2025–29), which aims to advance the automatic analysis of French Sign Language (LSF) by supporting corpus creation, recognition, and translation, as well as developing tools for the LSF community.

The researcher will join the Langue Interaction Parole et Signes (LIPS) team within the Sciences et Technologies des Langues (STL) department at the LISN. The position focuses on designing, developing, experimenting with, and evaluating algorithms for automatic processing of LSF videos, including sign recognition and translation into written French.

The role is embedded in a multidisciplinary research laboratory at Université Paris-Saclay, bringing together expertise from engineering, information sciences, life sciences, and human and social sciences. The LIPS team has recognized expertise in modelling and automatic processing of sign languages, and the successful candidate will have access to laboratory workspace and computing resources, including high-performance computing.

The postholder will also contribute to scientific dissemination through article writing and oral presentation of research results.

Funding details

Available

What's required

The post is for a postdoctoral researcher with strong interest or experience in automatic language processing, sign language recognition and translation, algorithm design, experimentation and evaluation, and scientific writing. The candidate should be able to carry out literature review and research monitoring, develop and test algorithms, and communicate research results orally and in writing.

How to apply

Apply through the official public-sector job portal using the provided application link. Submit the required application materials via the portal before the deadline.

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