Radio-frequency and optical embedded channel sounding for the design of digital twins (M/F).

CNRS; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A prominent research institution is seeking a full-time Researcher in France for the Horizon Europe project focused on improving radio communication systems. The candidate must possess a PhD in Electrical Engineering or Signal Processing and bring experience in radio-frequency electronics and Linux embedded systems. Responsibilities include optimizing algorithms, deploying measurement systems, and developing models to enhance first aid operations during disasters. The role integrates with a multidisciplinary team at XLIM laboratory.

Qualifications

• PhD in Electrical Engineering or Signal Processing with application in wireless communication technologies.
• Experience in radio-frequency electronics and embedded Linux systems.
• Additional skills in Machine Learning software development are advantageous.

Responsabilités

• Optimize radio channel sounding algorithms on FPGA platforms.
• Deploy systems during measurement campaigns in various environments.
• Develop channel models and educational tools to support planning.

Connaissances

Radio-frequency electronics

Embedded systems running Linux

Software-defined and cognitive radio

Machine Learning-oriented software development

Excellent communication skills

Interdisciplinary challenge management

Formation

PhD in Electrical Engineering or Signal Processing

Description du poste

Organisation/Company CNRS Department XLIM Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 8 Jan 2026 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No

Offer Description

As part of the European HURRICANE project, the objective will be to optimize an existing embedded channel sounding device that will be deployed during radio measurement campaigns in order to obtain propagation channel models representative of the measured environments. These models will ultimately be integrated into a digital twin, which will facilitate the deployment of radiocommunication systems intended for emergency response services operating in disaster areas.

Responsibilities

• Optimize existing radio channel sounding algorithms on an AMD/Xilinx SoC FPGA platform running Linux and the GNU Radio framework.
• Deploy the channel sounding system during measurement campaigns in various environments representative of disaster areas (urban, mountainous, etc.) identified by the HURRICANE project.
• Develop semi‑deterministic channel models representative of the measured environments.
• Develop an educational tool to support communication system planning in the form of a digital twin representing the measured and modeled propagation environments.
• Investigate solutions to extend the radio‑frequency channel sounder toward the optical domain.

The proposed research activity is part of the European project Horizon Europe HURRICANE (Holistic UGV‑based Resilient and Real‑time Intelligence for Crisis And Natural Emergency). This project is based on a multidisciplinary European consortium whose objective is to increase the efficiency and safety of first aid operations in disaster situations, through the use of advanced robotic technologies. By combining drones, autonomous ground vehicles and intelligent communication systems, it aims to optimise risk management, reduce operational hazards and boost the European robotics industry.

The researcher will be based at XLIM laboratory on the Futuroscope site in Chasseneuil‑du‑Poitou (F-86360), France. He or she will be integrated into the SYCOMOR team, which consists of five faculty researchers. A shared office and computing equipment will be provided.

The candidate must hold a PhD in Electrical Engineering or Signal Processing, preferably in Engineering Sciences applied to the development of wireless communication system technologies. The candidate should have at least some experience in radio‑frequency electronics, embedded systems running the Linux operating system, and software‑defined and cognitive radio. Additional skills in Machine Learning–oriented software development will be highly valued.

Qualifications

• PhD in Electrical Engineering or Signal Processing, preferably in Engineering Sciences applied to the development of wireless communication system technologies.
• At least some experience in radio‑frequency electronics, embedded systems running Linux, and software‑defined and cognitive radio.
• Additional skills in Machine Learning‑oriented software development will be highly valued.
• Familiar with standard channel characterization techniques (typically radio channels); fundamental principles of wireless radio communications; knowledge of free‑space optical communications will be considered an asset; implementation of signal processing algorithms on software‑based targets.
• The ability to work independently and address interdisciplinary challenges beyond the traditional scope of Engineering Sciences.
• Excellent communication and scientific writing skills, particularly in English.
• A strong interest in collaborative work within a European consortium, combined with scientific maturity and a clear inclination for experimental and field‑based activities.

These human and professional qualities will be regarded as equally essential as academic qualifications.