Post-doctoral researcher in safe navigation for urban users
Toulouse, 31400
CDD
01/06/2026- 31/05/2027
3000€- 3600€
Description
L’ENAC, École Nationale de l’Aviation Civile, est la plus importante des Grandes Écoles ou universités aéronautiques en Europe. Elle forme à un spectre large de métiers : des ingénieurs ou des professionnels de haut niveau capables de concevoir et faire évoluer les systèmes aéronautiques et plus largement ceux du transport aérien ainsi que des pilotes de ligne, des contrôleurs aériens ou encore des techniciens aéronautiques.
Ses laboratoires de recherche sont à la pointe de l’innovation et travaillent activement en coopération avec des universités internationales de haut niveau pour un transport aérien toujours plus sûr, efficace et durable.
L’ENAC est un établissement public à caractère scientifique, culturel et professionnel – grand établissement (EPSCP-GE), sous tutelle de la DGAC (Direction Générale de l’Aviation Civile), Direction du Ministère de la Transition Écologique et Solidaire. L’ENAC comprend une direction générale localisée à Toulouse et 8 sites en France.
Pour soutenir sa dynamique en faveur de la promotion de la diversité, l’ENAC facilite l’accueil et l’intégration des travailleurs en situation de handicap.
Missions
Europe’s transition toward Connected, Cooperative and Automated Mobility (CCAM) aims to create a safe, efficient, and sustainable transport ecosystem where all road users, vehicles, infrastructure, and people interact and cooperate intelligently. In this emerging framework, vulnerable road users (VRUs), including pedestrians and micromobility users such as cyclists and e-scooter riders, are increasingly recognized as active components of the connected mobility network rather than passive bystanders. Their smartphones serve as powerful sensing and communication devices, supporting cooperative perception, safety prediction, and digital twin modeling for cities.
However,the reliability of smartphone-based positioning remains a critical limitation. Global Navigation Satellite Systems (GNSS) suffer from signal degradation in urban canyons, multipath reflections, and temporary outages. To address this, researchers have fused GNSS with smartphone inertial sensors in advanced estimation methods such as Factor Graph Optimization (FGO). While such fusion improves accuracy and continuity, these systems still focus solely on estimating position, not on quantifying the trustworthiness of that estimate.
The proposed research project is based on the hypothesis that embedding integrity monitoring, fault detection, and confidence estimation directly within a multi-sensor factor graph framework can transform a standard smartphone into a trusted cooperative mobility agent capable of safely participating in CCAM environments.
By jointly estimating position, uncertainty, and integrity indicators in real time, the proposed IA-FGO framework will enable vulnerable road users (VRUs) to communicate not only their location but also how trustworthy that location is. This trustworthy self-assessment can significantly enhance cooperative perception, risk prediction, and multi-agent safety functions in connected mobility systems.
The main objectives of the project are:
• Develop an integrity-aware factor-graph framework for GNSS + IMU fusion on smartphones.
• Design real-time confidence metrics (e.g., protection levels, integrity risk) derived directly from graph posteriors.
• Validate the framework using realistic VRU mobility scenarios and urban environments.
• Demonstrate cooperative safety applications using integrity-tagged VRU trajectories within CCAM simulations
Profil
PhD graduate
Theoretical backgrund in estimation, sensor fusion, positioning, navigation, integrity
Programming in python, matlab
Carry out experiments: real data collect and processing