Job offer

Research Field Computer science » Computer systems

Education Level PhD or equivalent

Skills/Qualifications

️ You have skills in probability, statistics, machine learning, as well as telecommunication networks and scientific programming.

️ You have experience in literature review, applied research, and potentially in network metrology or generative artificial intelligence.

️ You demonstrate great curiosity, scientific rigor, autonomy, a sense of initiative and you enjoy teamwork

possess very good oral and written communication skills in both French and English.

The ideal candidate must hold a PhD (obtained less than 3 years before the hiring date) in Computer Science, Signal Processing, or Telecommunications.

On-site cafeteria

️ Leisure and sports offers

Public transport subsidies

️ Sustainable mobility package (for carpooling or cycling)

Family allowance

Wide range of social benefits

️ Partial teleworking possible

Generous leave package

Selection process

A leading general engineering school within IMT (Institut Mines-Télécom), the number one group of engineering schools in France, IMT Atlantique aims to support transitions and train responsible engineers. We place scientific and technical excellence at the service of education, research, and innovation.

As part of the project “Network Metrology Augmented by Generative AI and Machine Learning for Autonomous Networks”, which aims to explore the contributions of artificial intelligence applied to network metrology and network diagnostics, we are recruiting a Postdoctoral Researcher within our Computer Science Department (Brest campus).

In collaboration with the project team and the ERMINE team at the IRISA laboratory, you will explore the potential of new AI approaches (generative AI, machine learning) for network metrology. You will develop and structure one or several joint research axes (QoS diagnostics, split computing optimization, CDN supervision) and promote your work through publications and code development. Finally, you will serve as a bridge to teaching by supervising students and participating in scientific dissemination.