Phd Position F - M Identification Detection And Localisation Of Devices H/F - INRIA

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.

PhD Position F/M Identification, detection and localisation of devices
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Bac +5 ou équivalent

Fonction : Doctorant

Niveau d'expérience souhaité : De 3 à 5 ans

Contexte et atouts du poste

Within the framework of a partnership

- collaboration ({SERENDIPITY} and the start-up ARKANE

Mission confiée

Assignments :

With the support of the supervisor, the recruited researcher will conduct a state-of-the-art review to identify recent solutions and approaches for the identification and detection of mobile devices based on their signal emissions.

An initial framework has already been developed by the team, and both the source code and datasets are openly accessible. The researcher will build upon this existing framework and investigate potential improvements and extensions.

The developed solution is expected to be energy-aware and designed to operate effectively on resource-constrained devices. The solution should be automitized and dynamically adapt to different environments.

The main initial references to deal with this research activity are [1] and [2].

[1]Ildi Alla, Milin Zhang, Jonathan Ashdown, Valeria Loscri, Francesco Restuccia, Finding a needle in a (Spectrum) haystack: Multi-band multi-device radio fingerprinting, Computer Networks, Volume 280, 2026, 112148, ISSN 1389-1286, .

[2]I. Alla, S. Yahia, V. Loscri and H. Eldeeb, "Robust Device Authentication in Multi-Node Networks: ML-Assisted Hybrid PLA Exploiting Hardware Impairments," 2024 Annual Computer Security Applications Conference (ACSAC), Honolulu, HI, USA, 2024, pp. 1172-1185, doi: 10.1109/ACSAC63791.2024.00094.

Collaboration :
The recruited person will be in connection withthe Inria Team membersand the starup ARKANE.

Principales activités

Main activities:

- Propose advanced energy-aware solutions for identification and detection of both static and mobile emitting devices
- Developa frameworks, integrating frugal AI algorithms
- Participate to the experimenta validation of teh implemented solutions
- Write reports
- Test, change up until validation

Compétences

Technical and software skills and level required :

- Good programming skillsin Python, MATLAB, and C++.
- Ability to designand implement atestbed

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

€2,300 gross per month

• Python
• C++
• Anglais
• Reporting
• MATLAB