Open Ph.D. position on the theoretical foundations of information science
Structured Approaches to Physical Layer Security and Sensing
Keywords
Research scope
The recent paradigms in telecommunication and networks assume a myriad of interconnected agents (Internet of Things, MU-MIMO) of some transmitting personal and sensitive data. This raises new information security concerns, notably the risk of eavesdropping on the transmitted signal or the leakage of physical information on the user, such as its localization. While the privacy of communication is often handled over the transport layer by cryptographic means, the current surge of interest in physical layer security, which aims to leverage the structural properties of a communication channel to generate privacy, has opened numerous possibilities to strengthen user security. Unlike classical cryptography, physical layer security encodes the information in the form of a problem that is statistically hard for unauthorized parties by harnessing specific hypotheses on the transmission channel. Physical layer security offers complementary guarantees to usual cryptography, such as robustness to flaws in the software implementation of ciphers.
The general research scope of the Ph.D. project is at the intersection of Information Theory, Signal Processing, and Wireless Communication. It will investigate the statistical aspects of estimation and detection tasks occurring on the physical layer of wireless telecommunication networks and propose coding schemes to harden/ease the sensing of targets and secure transmission in wireless networks. Connex research areas include but are not limited to:
During the Ph.D. project, the successful applicant will be strongly encouraged to develop and strengthen his/her own research interests and to construct his/her personal research plan within this generic scope.
Requirements
The candidate is expected to hold or be close to obtaining a Master’s degree (Diplôme d’Ingénieur, M.Sc., or equivalent) and to have a strong mathematical background. Graduate-level knowledge in statistics, information theory, signal processing, or optimization would be appreciated.
The candidate must be self-motived and have professional written and oral communication skills in English.
Work environment
The successful candidate will work within the Laboratory of Signals and Systems (L2S), a friendly and convivial community of 200 researchers, students, and staff members located at CentraleSupélec, Université Paris-Saclay. The L2S (https://l2s.centralesupelec.fr) is one of the leading European laboratories with expertise in the fundamental and mathematical aspects of telecommunication, signal processing, and control systems. The Université Paris-Saclay is a top-ranked omni-disciplinary research-intensive French university.
The position will be in Gif-sur-Yvette, Paris area, France.
Upon integration, the candidate will be supervised by Maxime Ferreira Da Costa. More information on this call and his current research interests can be found at https://maximeferreira.github.io/.
A candidate’s defense and security background check, in accordance with French legislation, is part of the recruiting process.
Compensation
This Ph.D. position is fully funded (tuition fees + salary) for three years.
Timeline
The position is available immediately and will remain open until filled. Candidates are encouraged to apply early. The provisional starting date is summer/fall 2023 with a possibility to start by an internship on spring 2023
Contact/Application
Please feel free to contact maxime.ferreira@centralesupelec.fr to apply or for any additional information.
