Postdoctoral Researcher in Network Metrology, Artificial Intelligence and Stochastic Modeling

tools; Engineering » Electrical engineering; Engineering » Computer engineering Researcher Profile: First Stage Researcher (R1) Positions: Postdoc Positions Application Deadline: 27 Nov 2026 - 00:00 (Europe/Paris) Country: France Type of Contract: Temporary Job Status: Full-time Hours Per Week: 38 Offer Starting Date: 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description 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. Consult the detailed job description Where to Apply https://institutminestelecom.recruitee.com/l/en/o/post-doctorat-en-metrologie-des-reseaux-intelligence-artificielle-et-modelisation-stochastique Requirements 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. Additional Information Benefits WHY JOIN US: 🌊 Exceptional working environment: A seaside campus located in Plouzané (Brest) at the heart of a premier scientific environment. 🤝 High-level collaborations: Direct synergy between the Computer Science department of IMT Atlantique and the ERMINE team of the IRISA / INRIA laboratory (planned travel between Brest and Rennes). 💡 Stimulating innovation ecosystem: Opportunities for value creation, responding to calls for projects, and supervising interns and engineering students. BENEFITS: 🥗 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 Application Deadline: November 27, 2026 Contract Start Date: As soon as possible Interviews: Rolling basis Website for additional job details: https://institutminestelecom.recruitee.com/l/en/o/post-doctorat-en-metrologie-des-reseaux-intelligence-artificielle-et-modelisation-stochastique Work Location(s) Number of offers available: 1 Company/Institute: IMT Atlantique Country: France City: Brest Postal Code: 29200 Street: 655 avenue du technopôle 29280 Plouzané Contact City: Brest Website: https://www.imt.fr/ Street: 655 avenue du technopôle 29280 Plouzané Postal Code: 29200 E-Mail: sandrine.vaton@imt-atlantique.fr