Smart Optical Networks Enabled by Machine Learning
The Network Technology Lab at the École de technologie supérieure (ÉTS) invites applications for Ph.D. and Master student positions in the area of machine learning for optical networking applications. We seek strongly motivated individuals who are eager to work in interdisciplinary research environment. Candidates with experimental and theoretical strengths in optical telecommunications and machine learning, as well as good levels of critical analysis and communicative abilities, are especially encouraged to apply. Some of the research activities will be performed in collaboration with industrial partners. Stipends will be available for eligible students.
The research program aims at developing machine learning (ML) methods to enable more efficient and automated optical network operation. The objective is to perform a demonstration of smart optical networking based on ML and to demonstrate, theoretically and experimentally, the impact of cognition on network performance and robustness, as well as flexibility and dynamicity. The activities includes the exploration of ML methods for quality of transmission (QoT) estimation, performance prediction in the optical layer, as well as for anomaly detection and proactive failure management at the network level.
Candidates must hold a Bachelor or M.Sc. degree in electrical engineering, engineering physics, computer science or a related discipline.
Applicants should submit their resume, a copy of their academic transcripts, as well as a letter of motivation and a list of two referees.