Post-Doctorant pour le traitement de données IRM temps réel du conduit vocal (M/F)

CNRS - National Center for Scientific Research; France; On-site; EUR 42,000 - 60,000; Full time

Job summary

CNRS - National Center for Scientific Research invites applications for a research position within the LORIA lab in Vandœuvre-lès-Nancy, France.

The project focuses on processing real-time MRI data and linguistic annotation for multilingual speech research, with access to HPC resources and conferences.

Qualifications

• Proficiency in Python, with ability to implement DSP approaches.
• Experience with automatic speech processing and MRI data workflows.
• Knowledge of phonetics and vocal tract anatomy.
• Experience using HPC clusters for deep learning.
• Good command of English; ability to write scientific papers in English.

Responsibilities

• Process and structure real-time MRI data collected for the ArtAny project.
• Perform automatic segmentation and tracking of speech articulators in real-time MRI images.
• Improve automatic tracking methods and data processing pipelines.
• Structure and organize the database containing MRI data, speech signals, phonetic labels, and delineation of articulators.
• Automatically generate initial phonetic alignments and segmentations; share data with project partners.

Skills

Python programming

Automatic speech processing

Real-time MRI data processing

Speech modelling - LSTM

High-performance computing

Phonetics knowledge

English writing

Teamwork in international settings

Job description

Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 2 Dec 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 14 Dec 2026 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

The candidate will be responsible for processing and structuring real-time MRI data acquired as part of the ANR ArtAny project within the IADI laboratory. The data, which are currently being collected, will cover a relatively large number of languages and speakers.

The candidate will carry out the following activities:

• Automatic segmentation and tracking of speech articulators in real-time MRI images.
• Improvement of automatic tracking methods.
• Structuring and organisation of the database containing real-time MRI data, noisy and denoised speech signals, phonetic labelling and segmentation, and manual delineation of speech articulators.
• Automatic generation of the initial version of phonetic alignments and segmentations.
• Sharing of data among the different project partners.

The host laboratory is LORIA (Lorraine Research Laboratory in Computer Science and its Applications), a Joint Research Unit (UMR 7503). It is located in Vandœuvre-lès-Nancy, on the Nancy scientific campus, and is part of the University of Lorraine.

Approximately 450 people contribute to the research activities carried out at LORIA, which include both theoretical computer science research and applied computer science research in areas such as image processing, speech processing, 3D printing and robotics.

The successful candidate will join the MultiSpeech research team, which comprises around twenty members. The team is actively involved in several collaborative projects and also coordinates a number of scientific projects. Research activities are often carried out in collaboration with other research teams, particularly those involved in the ANR ArtAny project.

The candidate will be provided with a laptop, access to the laboratory's computing resources, including a high-performance computing cluster, and a budget to cover collaborative research visits and attendance at scientific conferences.

-Knowledge and skills:

• Proficiency in Python programming.
• Knowledge of automatic speech processing.
• Knowledge of real-time MRI data processing.
• Knowledge of speech modelling approaches based on LSTM architectures.
• Experience using high-performance computing clusters to implement deep learning approaches.
• Knowledge of phonetics and vocal tract anatomy.
• Good command of English.
• Ability to write scientific papers in English.

Personal skills and attributes:

• The candidate must demonstrate excellent teamwork skills and the ability to work in an international environment.
• They must also demonstrate autonomy and initiative in carrying out the assigned tasks.