Raphael Troncy

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.