PhD in AI, Knowledge Graphs, and Cybersecurity: Cooperation Schemes and Self-Orchestration of Heterogeneous Algorithmic Approaches EURECOM in France

PhD opportunity in AI, Knowledge Graphs, and Cybersecurity at Orange × EURECOM, focused on cooperation schemes and self-orchestration of heterogeneous algorithmic approaches for detecting and diagnosing complex anomalies in telecommunication networks.

The project sits at the intersection of Computer Science, Information Technology, and Mathematics, with research themes including machine learning, automated reasoning, Semantic Web technologies (RDF/RDFS, SPARQL), optimal control, and dynamic/distributed systems. The post emphasizes explainability, time constraints, and the orchestration of multiple algorithmic methods (AI, optimization, learning) in real-world telecom settings.

Supervision is joint between Orange and EURECOM, giving the student access to both academic research expertise and industrial-scale use cases. The announcer is Raphael Troncy, Associate Professor in Data Science at EURECOM.

Applicants should have a strong background in machine learning, automated reasoning, applied mathematics, computation and simulation, Semantic Web technologies, and software development. The post does not mention a funding amount, tuition coverage, or a specific deadline. The linked Orange page indicates the position has been filled, so interested candidates should verify availability before applying.