Research Engineer F/m Shapeup Keiki

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 23 research teams and 7 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, MORPHEO team

**Mission confiée**:
**Context**:
The ShapeUp Keiki project is the third project of the ongoing ShapeUp Studies series, where humans in the ages ranging from newborn to 5 year old will be studied.

The purpose of these studies is to explore and develop ways to measure health and body composition from 2D and 3D images, and optical scans. These technologies aim to take a look inside areas of the human body hidden by our skin. The study will test if new imaging machines can provide useful and detailed information about various health and wellness risks. A cohort of voluntary participants will provide the data, creating the largest and most powerful description of optical body shape and its association to body composition, metabolic markers, function, and dietary intake.

**Principales activités**:
**Objectives**

In this project the research engineer will work on the registration of the articulated body model SMIL [1, 2] to scan data (3D point clouds) of infants. An existing code base exists, which is suitable for adults, but infants present several additional challenges. Their poses can not be directed and automatic methods of pose detection will need to be studied. The shape of the participants of the ShapeUp Studies is also different from the shape of the population used to learn the SMIL model. The goal will be to create a more generic body model that better captures the variations in shape.

[1] **Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis**
Hesse, N., Pujades, S., Romero, J., Black, M. J., Bodensteiner, C., Arens, M., Hofmann, U. G., Tacke, U., Hadders-Algra, M., Weinberger, R., Müller-Felber, W., Schroeder, A. S.
In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2018

[2] **Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences**
Hesse, N., Pujades, S., Black, M. J., Arens, M., Hofmann, U. G., Schroeder, A. S.
Transactions on Pattern Analysis and Machine Intelligence, 42 (10), Special Issue on RGB-D Vision, pp. 2540-2551, 2019.

**Compétences**:

- 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.

Important:
**Avantages**:

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (90 days / year) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage under conditions

**Rémunération**:
From 2,692 € (depending on experience and qualifications).

**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**: 2025-05-01
- **Durée de contrat**: 12 mois
- **Date limite pour postuler**: 2025-02-28

**Consignes pour postuler**:
**How to apply**:

- Mandatory: Complete CV
- Mandatory: Degrees and lists of grades (translated to English or French)
- 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 n