1. Context

Présentation of IMT Atlantique :

IMT Atlantique, internationally recognized for the quality of its research, is a leading general engineering school under the authority of the Ministry of Industry and Digital Technologies, ranked in the 3 main international rankings (THE, SHANGAI, QS). With three campuses in Brest, Nantes and Rennes, IMT Atlantique aims to combine digital technology and energy to transform society and industry through training, research and innovation.

Job environment :

The successful candidate will work in the Computer Science department, within the Maths&Net research team. The Maths&Net team, within the Cybersecurity (CYR) pole of the UMR 6285 LabSTICC, aims to design, describe, manage, secure, control various aspects of communication networks.

The successful candidate will also work in close collaboration with the SRCD department (network systems, cybersecurity and digital law, Rennes, France), and the Optics department, Brest, France.

The objective of the project is to provide a framework facilitating on-the-fly slicing to meet the needs of "Beyond 5G" (B5G) services. We focus on both theoretical and applied aspects. On the one hand, we aim to propose resource allocation methods adapted to traffic demands, taking into account the specificity of the optical network connecting the antenna sites. We will study Markovian formulations of the problem, and seek solutions using machine learning techniques. In particular, we will consider demands that arrive asynchronously and have different latency, availability, and bandwidth requirements. On the other hand, we aim to integrate our solutions into an SDN-oriented optical access testbed.

2. Objective

Contribute to the project through research activities through the following three axes:

• Model-Based Resource Allocation Mechanisms: This axis focuses on analytical methods to solve the problem of on-demand resource allocation.
• Mechanisms of data-based resource allocation: this axis focuses on AIML methods in order to solve the problems formulated in the previous point
• Model and integration. This axis will focus on the implementation of the algorithms designed by previous axes in an existing testbed

3. Training and skills

Training

• PhD less than 3 years old in Applied Mathematics or Computer Science

Knowledge & Skills

• Good computer skills (eg Python, PyTorch OpenAI Gym).
• Solid mathematical knowledge and experience in stochastic modeling and/or resource allocation issues
• Excellent written English
• Knowledge of data networks
• Knowledge and experience in AIML techniques 
• Skills and experience in experimentation on optical networks would be a plus but are not essential
• Capacity for synthesis, reporting and communication
• Ability for teamwork

Benefits

• 49 days of annual leave and time off
• Partial telecommuting possible
• Public transport paid for
• Sustainable mobility package (for carpooling or cycling)
• Family supplement
• Wide range of social benefits

Additional information and application

• Application deadline : 16/02/2023
• Start of contract : As soon as possible
  
• Type of contract : Fixed-term contract under public law
• Duration of the contract : 12 months, possibility to be extended to 24 months (min: 12 months, max: 36 month)
  
• Geographic location : IMT Atlantique - 655 Av. du Technopôle, 29280 Plouzané
  
• Project : RAI5G
  
• The positions offered for recruitment are open to all with, upon request, accommodations for candidates with disabilities
• Hierarchical Category: Category II trade P of the LMI management cadre
• For more information, please contact : isabel.amigo@imt-atlantique.fr
  

Application documents

• Resume with list of publications
• Cover letter
• Names and emails of referees that may be contacted
• More (complete)