PhD Position at University of Paris-Saclay in Artificial Intelligence for Drone Security

This three-year, fully funded dissertation seeks to provide an AI framework for spatial-temporal learning and reasoning in the domain of security for drones. This work lies at the intersection of cybersecurity of autonomous systems, highly mobile wireless networks, spatio-temporal modeling of collective behavior and embedded AI. FANETs represent an extreme case of distributed network with partial information, in which energy constraints, radio heterogeneity, topological fragmentation and frequent transitions between connected and quasi-isolated regimes impose radically different compromises in detection. 

The combination of physical models (kinematics, flight dynamics), statistics (non-stationary conditional densities) and topology (representation of the network as a temporal graph) constitutes a theoretical basis necessary for the construction of an IDS truly adapted to FANET constraints.

Thesis start date: October 1, 2026

In case of any problem, please send your documents to: AITSAADI.Amylia at outlook.com cc to amar.ramdane-cherif at uvsq.fr

https://www.universite-paris-saclay.fr/

We are seeking a highly self-motivated individual to embark on a three-year, fully funded PhD dissertation that aims to develop an AI framework for spatial-temporal learning and reasoning in the domain of security for drones. . The successful candidate will join a dynamic research team and contribute to a project with potential for significant impact across various sectors. If you are passionate about advancing the field of AI and possess the skills and qualifications outlined, we encourage you to apply.

Object Oriented programming: Java, JavaScript, python
Advanced concepts related to Artificial Intelligence, knowledge representation, networking and mathematics etc.