Job offer

Organisation/Company: Université de Rennes

Department: POLARIS

Research Field: Engineering » Communication engineering

Researcher Profile: First Stage Researcher (R1)

Positions: Postdoc Positions

Country: France

Application Deadline: 1 May 2025 - 23:59 (Europe/Paris)

Type of Contract: Temporary

Job Status: Full-time

Offer Starting Date: 1 Nov 2025

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

LoRa systems enable the deployment of long-range, low-power IoT networks (LP-WAN), which are used in critical sectors such as energy, transportation, logistics, and environment. The Cyb-IoT2 project aims to enhance the security of LP-WAN networks and study congestion risks associated with their increasing density.

Within the laboratory, an experimental platform has been implemented to capture and record a large number of LoRa packets in the ISM (Industrial, Scientific, Medical) 868 MHz band. This system enables the collection of real and representative data on LoRa technology usage in an urban environment. It can also be deployed to monitor network usage, optimize its operation, detect and investigate potential security issues, and/or develop localization methods and intelligent spectrum access techniques. Planned enhancements to this platform include the implementation of a reference network to better control the processing of encrypted packets as well as the deployment of data capture devices at multiple sites to enhance spatial analysis.

The work conducted so far has opened new research directions, which will be explored throughout this project:

1. The first research axis aims to address the open problem of associating a LoRa node’s physical address with its network address. This issue has been previously tackled for a limited number of scenarios, and the goal is now to extend this reassociation capability to a broader range of observed behaviors.
2. The second research axis seeks to leverage long-term available data to conduct radio propagation-based analyses. It will be enhanced by deploying additional packet capture devices, thereby introducing a spatial diversity dimension to the existing system.
3. The third research axis focuses on developing a machine learning-based approach for systematic and in-depth analysis of the available data. This will help build predictive capabilities to anticipate network activity and identify particularly targeted nodes.

Where to apply

E-mail: jerome.lemasson@univ-rennes.fr

Requirements

Research Field: Engineering » Communication engineering

Education Level: PhD or equivalent

Skills/Qualifications:

• PhD in sciences and technologies of information and communication
• Strong programming skills (Python, C/C++...)
• Knowledge in machine learning, signal processing, software defined radio (SDR), cognitive radio, and IoT networks would be highly appreciated.

Languages:

• ENGLISH Level: Excellent
• FRENCH Level: Basic

Additional Information

Eligibility criteria: In accordance with the Sustainable Attractiveness Strategy (SAD) regulation of the Brittany region, candidates must have spent at least 18 months abroad between May 1, 2022, and the project’s start date.

Selection process:

Required documents: CV, cover letter, and list of publications.

Additional comments: The position will be based in Rennes, France, at IETR, a public research laboratory (a CNRS mixed research unit specializing in electronics and digital technologies). The 24-month contract is funded by the CYBIOT2 project.