Postdoctoral Position

Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Sciences du Numérique Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 30 Nov 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Mar 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This recruitment is part of the ANR GestToSay project (2025–29), which aims to contribute to the automatic analysis of French Sign Language (LSF) including corpus development and the design of recognition and translation algorithms, and to develop tools for the LSF community. The successful candidate will join the Language, Speech, and Sign Interaction (LIPS) research team at LISN. They will design and evaluate algorithms dedicated to the automatic processing (sign recognition and/or translation into written French) of videos in French Sign Language (LSF). They will also contribute to the writing of scientific articles.

• Literature review, scientific monitoring
• Design, development, testing, and evaluation of algorithms for translating French Sign Language (LSF) into written French
• Writing scientific articles and internal reports
• Oral presentation of research results

The Interdisciplinary Laboratory for Digital Sciences (LISN), located on the Paris-Saclay University campus, is a multidisciplinary research laboratory that brings together researchers and faculty members from various disciplines within Engineering Sciences and Information Sciences, as well as the Life Sciences and the Humanities and Social Sciences.
The successful candidate will join the Language, Speech, and Sign Interaction (LIPS) team in the Department of Language Sciences and Technologies (STL) at LISN (Belvédère Site, University Campus, Building 507 – Rue du Belvédère 91405 – Orsay). This team specializes in particular in the modeling and automatic processing of sign languages. The successful candidate will have access to a workstation and the laboratory's resources, particularly in terms of high-performance computing.

• Proven experience in machine learning, preferably in the analysis of sign language videos
• Practical knowledge of computer vision and natural language processing
• Strong teamwork and scientific collaboration skills
• Strong communication skills, both oral and written, for drafting reports and presenting scientific results.
• Ability to work independently and as part of a team
• Ability to prioritize tasks and take initiative.