Institut Mines-Télécom
23 hours ago
Post-Doctorate in Network Metrology, Artificial Intelligence, and Stochastic Modeling
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Company information
- Company
- Institut Mines-Télécom
- Location
- Brest, Bretagne, France France
- Posted
- 23 hours ago
Job description
A prestigious generalist engineering school within IMT-Institut Mines-Télécom, the leading group of engineering schools in France, IMT Atlantique aims to support transitions, train responsible engineers, and 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 diagnostics, we are recruiting a Post-Doctoral researcher within our Computer Science Department (Brest campus).
In collaboration with the project team and the ERMINE team from 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 more joint research axes (QoS diagnostics, split computing optimization, CDN supervision) and will leverage your work through publications and code. Finally, you will bridge to pedagogy by supervising students and participating in scientific dissemination.
Consult the detailed job description
✔️ You have skills in probability, statistics, machine learning, as well as telecommunications networks and scientific programming.
✔️ You have experience in bibliographic monitoring, applied research, and possibly in network metrology or generative artificial intelligence.
✔️ You demonstrate great curiosity, scientific rigor, autonomy, a sense of initiative, and you appreciate teamwork.
🇬🇧 🇫🇷 You have excellent oral and written communication skills, in both French and English.
🎓 The profile sought must hold a Doctorate (obtained less than 3 years prior to the hiring date) in Computer Science, Signal Processing, or Telecommunications.
WHY JOIN US:
🌊 Exceptional work environment: A campus located by the sea in Plouzané (Brest) at the heart of a leading scientific environment.
🤝 High-level collaborations: Direct synergy between the Computer Science department of IMT Atlantique and the ERMINE team of the IRISA / INRIA laboratory (travel planned between Brest and Rennes).
💡 Stimulating innovation ecosystem: Opportunities for valorization, responding to calls for projects, and supervising interns and engineering students.
PERKS:
🥗 On-site collective catering
🏃♀️ Leisure/sports offers
🚌 Public transport reimbursement
🚴♂️ Sustainable mobility package (for carpooling or cycling commutes)
👨👩👧👦 Family allowance
💶 Wide range of social benefits
🖥️ Partial remote work possible
🌴 Numerous holidays
REMUNERATION INDICATIONS:
💰 Indicative remuneration: €35,800 gross per year, depending on profile and experience (reduced employee contributions in the public sector).
FOR ALL INFORMATION:
o On the content of the position: Sandrine VATON – Professor, Doctoral School Director: o On administrative/HR aspects: Mélissandre MORVAN – Recruitment Assistant:
Application deadline: 11/27/2026
Contract start: As soon as possible
Interview: On a rolling basis
Legal Mentions:
Nature and duration of the contract: 18-month fixed-term contract under public law or detachment on contract for civil servants, renewable
Job location: IMT Atlantique campus of Brest - 655 avenue du technopôle - 29280 Plouzané
For internal use:
Category – job type: II P
Positions offered for recruitment are open to all, with, upon request, accommodations for candidates with disabilities
Job open to civil servants and/or contract employees
All applications may be subject to an administrative investigation
Required skills
- telecommunications
- generative ai
- cdd
- artificial intelligence
- machine learning
- computer science
- statistics
- cdn
- signal processing
- probability
- public law
- qos
- applied research
- telecommunications networks
- scientific programming
- stochastic modeling
- network diagnostics
- autonomous networks
- irisa
- inria
- network metrology
- split computing
- bibliographic monitoring
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