Alvaro Llaria

PhD opportunity in Artificial Intelligence for a thesis titled Distributed Intelligence and Connected Things for robust and efficient Industrial Communication Networks . The project is hosted in a collaboration involving the Laboratoire Connaissance et Intelligence Artificielle Distribuées (CIAD) at the University of Technology of Belfort-Montbéliard and ESTIA-Recherche in France, with co-supervision by professors from these research groups. The research sits at the intersection of computer science , electrical engineering , information technology , and robotics , with strong links to cyber-physical systems , industrial IoT , multi-agent systems , and machine learning . The thesis addresses industrial digitalization and Industry 4.0 challenges, especially how to design resilient, interoperable, and efficient connected systems in constrained industrial environments. The post highlights research on distributed AI, knowledge modeling, heuristic optimization, multi-agent architectures, and adaptive methods for industrial communication networks and smart interfaces. Eligibility highlights: Master 2 or equivalent is preferred; Master 1 may be considered with equivalent experience. The call asks for a strong technical profile, especially in embedded systems, AI, multi-agent systems, and programming. Applicants should submit a CV, motivation letter, academic transcripts, and supporting documents such as recommendation letters or internship/project evidence if available. Application deadline: 31 May 2026. The thesis is expected to begin by 1 November 2026. How to apply: Email the complete PDF dossier to the listed contacts and follow the naming format specified in the call. Shortlisted candidates may be invited for an interview.