Robotics Junior Engineer - Montbonnot-Saint-Martin, France - Inria

Inria

Entreprise vérifiée

Montbonnot-Saint-Martin, France

il y a 1 semaine

Posté par:

Sophie Dupont

beBee Recruiter

Description

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

Niveau d'expérience souhaité :
Jeune diplômé

A propos du centre ou de la direction fonctionnelle:

The Inria Grenoble - Rhône-Alpes research center groups together almost 600 people in 22 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 (Université Grenoble Alpes, CNRS, CEA, INRAE,), but also with key economic players in the area.

Inria Grenoble - Rhône-Alpes 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:

RobotLearn aims to develop socially assistive robots with the capacity to perform multi-person interactions and open-domain dialogue. We conceive innovative methods and algorithms for computer vision, audio processing, and sensor-based control for socially-aware robots based on modern statistical
- and deep learning to ground the required social robot skills.

Our scientific ambition of RobotLearn is to train robots to acquire the capacity to look, listen, learn, move, and speak in a socially acceptable manner.

This is being achieved via a fine tuning between scientific findings, development of practical algorithms and associated software packages, and thorough experimental validation.

RobotLearn team members plan to endow robotic platforms with the ability to perform physically unconstrained and open-domain multi-person interaction and communication.

The roadmap of RobotLearn is twofold: (i) to develope machine learning techniques for the temporal and spatial alignment of audio and visual data, variational Bayesian methods for unimodal and multimodal tracking of humans, and deep learning architectures for audio and audio-visual speech enhancement, and (ii) to explore novel scientific research opportunities at the crossroads of discriminative and generative deep learning architectures, Bayesian learning and inference, computer vision, audio/speech signal processing, spoken dialog systems, and robotics.

The paramount applicative domain of RobotLearn is the development of multimodal and multi-party interactive methodologies and technologies for social (companion) robots.

Mission confiée:

The RobotLearn team offers a development engineer position to work in the field of multi-modal human-robot interaction.

The recruited engineer will have the following missions:

port the deep learning and other algorithms and software onto a robotic platform; conduct experiments involving the robotic platform and participants; ensure software robustness and re-usability; prepare software for data collection and data annotation.

The recruited engineer will work in close collaboration with the group members (researchers, PhD students, and development engineers).

Principales activités:

Porting the software onto a robotic platform and validate it via experiments.
Update existing software to exploit recent features of 3rd party software such as PyTorch and ROS.

Compétences:

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 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

Informations générales:

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Thème/Domaine: Robotique et environnements intelligents
Plateformes expérimentales logiciel (BAP E)

-
Ville: Montbonnot

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Centre Inria: Centre Inria de l'Université Grenoble Alpes
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Date de prise de fonction souhaitée:
-
Durée de contrat: 6 mois
-
Date limite pour postuler:

Consignes pour postuler:

Sécurité défense:

Ce poste est susceptible d'être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n° 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.

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