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Dans ce contexte, vous participerez à la maintenance de l’écosystème existant, mais aussi à la conception et au développement des futures évolutions des briques…

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Research Engineer in 5G Broadcast Experimental Platforms and Validation.

Inria -
Rennes (35)

Soumettre votre candidature

Détails de l'emploi

CDD
De 2 500 € à 3 100 € par mois

Avantages

Qualifications

Go
5G
Anglais
Master
Bash
C++
C
Systèmes distribués
Scripting
Linux
Compétences en communication
Python
Shell scripting
4G/LTE

Description complète du poste

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

Type de contrat : CDD

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

A propos du centre ou de la direction fonctionnelle

The Inria Center at the University of Rennes is one of Inria’s eight research centers and is home to more than thirty research teams. The center is a major and internationally recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem, bringing together highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education institutions, laboratories of excellence, and a technological research institute.

Contexte et atouts du poste

Funding Context: ROBIN Project – Bpifrance i-Démo

The Bpifrance i-Démo program, funded under the France 2030 investment plan, supports ambitious collaborative research, development, and innovation (R&D&I) projects with strong technological and economic impact. It aims to accelerate the development of breakthrough technologies and their transfer to the market by fostering collaboration between industrial companies and research organizations.

The ROBIN project is funded under this program and brings together a consortium of two academic partners (INSA Rennes and the University of Rennes) and three industrial partners (TDF, Ateme, and ENENSYS). Together, they are developing innovative solutions for 5G broadcast technologies, with a particular focus on the delivery of broadcast services to 5G terminals.

Scientific Context

The evolution of digital broadcasting and mobile networks has led to the emergence of 5G Broadcast technology, enabling the delivery of high-quality multimedia services, including TV and video content, directly to 5G-enabled terminals. This technology relies on a combination of advanced terminal architectures, communication protocols, and standardization frameworks defined by organizations such as 3GPP.

However, several scientific challenges remain to be addressed, including the optimization of physical and protocol layers, the design of efficient and robust 5G Broadcast base station architectures, and the development of adaptive transmission strategies capable of addressing heterogeneous and dynamic propagation conditions across indoor and outdoor environments.

Artificial Intelligence (AI) and Machine Learning (ML) techniques offer promising approaches for improving system performance through data-driven optimization, intelligent resource management, and adaptive configuration. Nevertheless, challenges related to robustness, generalization, reliability, and computational complexity must be considered to ensure the deployment of AI-based solutions in real-world 5G Broadcast systems.

Mission confiée

The Research Engineer will be responsible for the design, deployment, and validation of a 5G Broadcast experimental testbed based on USRP platforms, OpenAirInterface (OAI), and associated radio communication equipment. The mission will involve setting up an end-to-end experimental infrastructure, including hardware integration, 5G protocol stack configuration, signal generation and analysis, and performance evaluation.

The engineer will contribute to the deployment of indoor and outdoor test environments for evaluating 5G Broadcast services under realistic propagation conditions. Activities will include the configuration and operation of radio equipment, antenna systems, measurement tools, and network components, as well as the management of frequency resources, spectrum access, and required experimental licenses.

Principales activités

The position will involve:

Deployment and maintenance of a 5G Broadcast testbed using USRP-based platforms and OpenAirInterface software.
Integration and configuration of radio access network components, antennas, signal processing modules, and measurement equipment.
Implementation and validation of broadcast transmission scenarios in indoor and outdoor environments.
Characterization of radio propagation conditions, signal coverage, quality indicators, and system performance.
Management of experimental frequency licenses and coordination of spectrum usage for field trials.
Collection and analysis of experimental data to evaluate reliability, robustness, and optimization strategies.
Collaboration with academic and industrial partners within the ROBIN project consortium.

Compétences

Strong knowledge of wireless communication systems, particularly 4G/5G technologies and radio access networks.
Experience with Software-Defined Radio (SDR) platforms, preferably USRP, and OpenAirInterface (OAI) or similar open-source mobile network platforms.
Good understanding of 5G physical and MAC layers, radio protocols, and network architectures.
Experience in deploying and operating experimental testbeds, including hardware integration and system configuration.
Knowledge of RF measurements, signal analysis, spectrum analyzers, vector signal generators, and other radio test and measurement equipment.
Familiarity with indoor and outdoor radio propagation measurements, coverage assessment, and performance evaluation.
Experience with Linux environments, scripting, and programming (Python, Bash, and/or C/C++).
Understanding of 5G Broadcast, multimedia delivery, or broadcast/multicast technologies is an asset.
Knowledge of spectrum regulations, frequency planning, or experimental licensing procedures is desirable.
Ability to troubleshoot complex hardware and software systems and work independently.
Excellent teamwork and communication skills, with the ability to collaborate effectively with academic and industrial partners.
Good written and spoken English.

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 (after 6 months of employment) 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

Rémunération

Net monthly salary ranging from approximately €2,500 to €3,100, depending on experience.

Informations générales

Thème/Domaine : Réseaux et télécommunications
Système & réseaux (BAP E)
Ville : Rennes
Centre Inria : Centre Inria de l'Université de Rennes
Date de prise de fonction souhaitée : 2026-11-01
Durée de contrat : 1 an, 6 mois
Date limite pour postuler : 2026-09-20

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

Please apply online by submitting your CV and cover letter.

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 : ERMINE
Recruteur :
Jelassi Sofiene / [email protected]

L'essentiel pour réussir

More than a checklist of technical skills, what will make this assignment a success is a particular mindset and a certain way of engaging with research and engineering work.

The ideal candidate is someone who genuinely enjoys operating at the boundary between systems and ideas — someone who finds satisfaction not only in making things work, but in understanding why they work and what they reveal about the underlying problem. This role sits at the crossroads of distributed systems, AI, and networking: an intellectual appetite for all three, even without deep expertise in each, will go a long way.

We are looking for someone with:

A taste for experimentation and hands-on work. You enjoy building things, running experiments, and letting measurements guide your thinking. You are not deterred by a system that does not behave as expected — you are curious about why.
Comfort with open-ended problems. The scope of this project will evolve. The right candidate embraces this flexibility rather than seeking rigid task definitions, and is able to self-direct their work within a broader research agenda.
A collaborative and communicative nature. The project involves a multi-partner national programme (PEPR NF-MUST). You will interact with researchers from different institutions and backgrounds, and you are able to share your progress, your doubts and your findings clearly and constructively.
Cross-disciplinary curiosity. Whether your background is closer to systems, algorithms, or networking, what matters is a genuine interest in the neighbouring fields and a willingness to build bridges between them.
A research-oriented mindset. You are comfortable reading technical literature, situating your work in a broader scientific context, and contributing to written outputs that go beyond code documentation.

A thesis or significant project in the areas of network function virtualisation, edge computing, machine learning systems, or distributed optimisation would be a genuine asset. What matters most is the drive to produce rigorous, reproducible, and impactful work within a stimulating and supportive research environment.

A propos d'Inria

Inria, l'institut national de recherche dans les sciences et technologies du numérique, est en appui de l’État pour les stratégies nationales de recherche et d’innovation du numérique en tant qu'Agence de programmes. Inria mène plus de 300 projets de recherche et d’innovation avec ses 3500 scientifiques, ingénieurs et personnels d’appui, en partenariat avec les universités et l’écosystème numérique (entreprises, entrepreneurs, acteurs publics). Ensemble, nous explorons des domaines clés comme l'intelligence artificielle, la cybersécurité, l’informatique quantique, le Cloud, la transformation numérique de la santé, les jumeaux numériques ou encore les technologies numériques pour la défense. Nous construisons des solutions concrètes telles que des logiciels, des startups technologiques, des partenariats avec les entreprises du tissu national et des formations de pointe. Notre objectif : l’impact scientifique, technologique et industriel au service de la souveraineté numérique de la France.

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : network engineer (bretagne)

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A propos du centre ou de la direction fonctionnelle

Contexte et atouts du poste

Funding Context: ROBIN Project – Bpifrance i-Démo

Scientific Context

Mission confiée

Principales activités

Compétences

Avantages

Rémunération

Informations générales

Consignes pour postuler

Contacts

L'essentiel pour réussir

A propos d'Inria

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