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IMT Atlantique
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Post-doctoral Researcher in Network Metrology, Artificial Intelligence and Stochastic Modeling IMT Atlantique in France
Degree Level
Postdoc
Field of study
Computer Science
Funding
Indicative contract salary: 35,800 EUR gross per year.
Country
France
University
IMT Atlantique
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About this position
This postdoctoral position at IMT Atlantique is embedded in a research project on network metrology enhanced by generative AI and machine learning for autonomous networks. The work is hosted in the Department of Computer Science on the Brest campus in Plouzané and is carried out in close collaboration with the ERMINE team at IRISA / INRIA, with planned exchanges between Brest and Rennes.
The successful researcher will explore how new AI approaches can be applied to the measurement and diagnosis of communication networks. The project brings together generative AI, machine learning, and stochastic modeling to develop research directions around network performance analysis and service supervision.
- diagnosis of quality of service (QoS)
- optimization of split computing
- supervision of CDN infrastructures
The position emphasizes both research production and dissemination: the postdoctoral researcher will publish results, produce code, and contribute to scientific outreach. The environment is research-oriented and collaborative, with interaction between the engineering school and a recognized academic lab, and opportunities to supervise students and contribute to teaching-related activities.
IMT Atlantique presents itself as a leading French engineering school within the Institut Mines-Télécom ecosystem, combining scientific excellence, innovation, and applied research in a stimulating campus setting near the sea.
Funding details
Indicative contract salary: 35,800 EUR gross per year.
What's required
Applicants must hold a PhD obtained less than 3 years before the start date in Computer Science, Signal Processing, or Telecommunications. Required or strongly preferred skills include probability, statistics, machine learning, telecommunications networks, and scientific programming. Experience in bibliographic monitoring, applied research, network metrology, or generative AI is desirable. Very good oral and written communication skills in both French and English are required, along with scientific rigor, autonomy, initiative, and teamwork.
How to apply
Apply on the employer site and submit a CV and cover letter. Use the application link provided in the advert to access the portal and complete the application.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.