FULL PROFESSOR IN INFORMATION THEORY

Overview

Full Professor in Information Theory on an open‑ended public‑sector contract at CentraleSupélec, a leading engineering school within the Paris‑Saclay University, operating under the authority of the French ministries for higher education and industry.

Teaching Responsibilities

The professor will teach courses in data and information sciences—including information theory, digital communications, signal processing, statistics, and learning—within the Engineering and Bachelor programs at CentraleSupélec, and in research‑oriented Master’s programs of Université Paris‑Saclay. The role involves linking courses with major engineering and societal challenges such as climate change, sustainable development, sovereignty, security, and health.

Teaching responsibilities may also include development of current curricula in the Engineering programs, collaboration with industrial partners on projects and thematic modules, and support for other programmes, including Bachelor’s and Master’s of Science. The professor may lead a teaching team in the third‑year specialization track “Information and Communication Engineering” (ICE), focusing on courses that integrate information theory and statistics.

Teaching projects must address the challenges of digital, energy, and ecological transitions. Capacity to teach in English is required.

Research Responsibilities

The professor will join the Telecommunications and Networks research group within L2S. The group covers lower layers of the protocol stack (digital communications, resource allocation), application layer (robust compression, content security), and network layers (routing, virtualization). Synergistic work focuses on challenges in telecommunications and multimedia, particularly in mobile networks, sensor networks, and vehicular networks, while developing generic tools such as information theory, game theory, stochastic geometry, and learning techniques for global optimization of studied systems.

Research activity will centre on Information Theory with modern applications. Targeted themes include:

• Characterisation of fundamental limits of communication systems
• Source and channel coding, joint coding schemes
• Information theory for security and privacy
• Information theory for learning
• Quantum information theory

Candidates presenting work that blends theory and applications—e.g., wireless communication systems, sensor networks, distributed artificial intelligence, or digital privacy—will receive special consideration. The professor is expected to develop a visible international research programme, lead large‑scale projects, supervise doctoral students, contribute to national or European collaborations, and engage in the life of L2S and scientific outreach.

Qualifications and Experience

Applicants should have demonstrated capacity to supervise Ph.D. students in information theory, significant research experience evidenced by publications in top journals and conferences, and proven ability to supervise research. Teamwork skills and experience conducting collaborative research with industrial and public or private institutions are required.