PhD Position F/M Identification, detection and localisation of devices

Inria, the French national research institute for the digital sciences; France; Hybride; EUR 38 000 - 54 000; Plein temps

Avantages offerts par ce poste

Public transport allowance

Annual leave + RTT

Teleworking after 6 months

Flexible hours

Equipment provided

Social and cultural events

Résumé du poste

Inria, the French national research institute for the digital sciences seeks a PhD-level researcher to advance energy-aware identification/detection of emitting devices. You will extend an existing framework with frugal AI and validate it on real devices, under supervisor guidance, with collaboration with ARKANE.

The role emphasizes research excellence, experimental validation, and the ability to design adaptable solutions for resource-constrained environments.

Qualifications

• PhD with strong background in networking, signal processing and AI.
• Experience with real connected devices and experimental validation preferred.

Responsabilités

• Conduct a state-of-the-art review on device identification via signal emissions.
• Build upon an existing framework to improve energy-aware detection.
• Develop a testbed and automate adaptive experimentation across environments.
• Collaborate with Inria team members and startup ARKANE.

Connaissances

Python

MATLAB

C++

Formation

PhD in networking/telecommunications or related field

Outils

Testbed development

AI algorithms

Description du poste

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 10 Oct 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026-10471 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Within the framework of a partnership

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

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, https://doi.org/10.1016/j.comnet.2026.112148 .

[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.

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

Technical and software skills and level required :

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

Specific Requirements

The recruited PhD should be with a good background in networking and telecommunications, as well as in signal processing and AI.

Ideally, it should have experience to deal with real connected devices and implemnet experimental validation.

Languages FRENCH Level Basic

Languages ENGLISH Level Good

Additional Information

• 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