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Research Engineer F/M on Longitudinal Image-based Measurement of Scoliosis Change

Inria -
Montbonnot-Saint-Martin (38)

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Détails de l'emploi

Qualifications

Français
PyTorch
Anglais
Master
Ingénierie informatique

Description complète du poste

Le descriptif de l’offre ci-dessous est en Anglais

Type de contrat : CDD

Contrat renouvelable : Oui

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

A propos du centre ou de la direction fonctionnelle

The Inria Grenoble research center groups together almost 600 people in 26 research teams and 8 research support departments.

Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (University Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.

Inria Grenoble is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.

Contexte et atouts du poste

Position: Research engineer at INRIA – Grenoble, KINETIX team

Date: The position is open for a start in Oct 2026.

Advisors: The retained candidate will be advised by Sergi Pujades, Jéan-Sébastien Franco and Edmond Boyer at Kinetix INRIA.

Mission confiée

Context:

Adolescent Idiopathic Scoliosis (AIS) is a three-dimensional spinal deformity affecting 1–4% of the population, which can limit spinal mobility and often progresses from mild or moderate to severe during puberty. Treatments typically include bracing or surgery in severe cases, and scoliosis is usually measured using the Cobb angle. However, this single-angle measurement oversimplifies the complex 4D deformity, making it difficult to track the evolution of the condition or the impact of treatments on mobility over time. To address this, the LIMSC project aims to develop AI-based tools to analyze longitudinal 3D morphological and kinematic changes in AIS patients. LIMSC will collect image-based body surface shape, motion, and biplanar radiographies over time in a clinical setting, obtain highly accurate 3D reconstructions of the patients, and register the patients’ data in a common spatial and temporal frame to identify
patterns and generate novel AIS classifications. LIMSC key insights include markerless body motion capture, accurate 3D reconstructions, and modeling changes with an Adolescent Growth Digital Twin. By combining these methods, LIMSC seeks to provide a comprehensive understanding of how treatments affect patient function, posture, and overall well-being, going beyond the limited view offered by static radiographs.

Principales activités

Objectives

LIMSC will leverage retrospective datasets of multi-view images of patients collected prior to the project.

These videos will be processed with the current best 3D reconstruction algorithm [1], and SKEL [2] will be registered to the reconstructions to obtain 4D temporal trajectories.

The processing will take place on the GRICAD cluster (https://gricad-doc.univ-grenoble-alpes.fr/en/). Creating a dedicated processing pipeline will be key in the project, so that novel acquired data can be automatically processed, and a quality control can be effectuated.

As SKEL [2] was learned from an adult cohort and not adolescents, improvements will need to be added to the model and the registration pipeline. Also, as the back of AIS patients might exhibit gibossities and SKEL does not model them, further improvements will be required.

[1] Toussaint, Briac, Diego Thomas, and Jean-Sébastien Franco. "ProbeSDF: Light Field Probes For Neural Surface Reconstruction." In Proceedings of the Computer Vision and Pattern Recognition Conference, pp. 11026-11035. 2025.

[2] Keller, Marilyn, Keenon Werling, Soyong Shin, Scott Delp, Sergi Pujades, C. Karen Liu, and Michael J. Black.
"From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans." ACM Transactions on Graphics (TOG) 42, no. 6 (2023): 1-12.

Compétences

Candidate Profile:

A master in Computer Science or Applied Mathematics (mandatory).
Strong mathematical background – geometry – optimization techniques
Strong coding skills (pytorch, pytorch3D)
Good Oral and written English
Preliminary experience in the following areas is a plus: computer vision – 3D point clouds – registration techniques – geometry processing – 3D pose estimation.

A specific section in the application letter must explain the personal experience in these areas.

Avantages

See benefits offered by UGA

Rémunération

According to UGA reglementation

Employer : Grenoble Alpes University

Informations générales

Thème/Domaine : Vision, perception et interprétation multimedia
Systèmes d'information (BAP E)
Ville : Montbonnot
Centre Inria : Centre Inria de l'Université Grenoble Alpes
Date de prise de fonction souhaitée : 2026-10-01
Durée de contrat : 12 mois
Date limite pour postuler : 2026-06-19

Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.

Consignes pour postuler

How to apply:

Please send your application including

Mandatory: Complete CV
Mandatory: Letter of motivation (at most one page) – briefly describing the personal experience in the relevant areas (see Candidate Profile).
Mandatory: Degrees and lists of grades (translated to English or French)
Mandatory: Name and e-mail address of two references (this typically includes your Master thesis supervisor)
Topic of Master thesis and report if available

through this Jobin website

Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.

Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.

Contacts

Équipe Inria : KINETIX
Recruteur :
Pujades Sergi / [email protected]

L'essentiel pour réussir

How to apply:

Please send your application including

Mandatory: Complete CV
Mandatory: Letter of motivation (at most one page) – briefly describing the personal experience in the relevant areas (see Candidate Profile).
Mandatory: Degrees and lists of grades (translated to English or French)
Mandatory: Name and e-mail address of two references
Topic of Master thesis & Thesis and reports if available

A propos d'Inria

Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eﬀorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.

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