Engineer Agentic AI for Edge Computing Intelligence - Fixed-term contract of 3 months

1-    Work Environment

Internationally recognized generalist engineering school of the IMT (Institut Mines-Télécom), leading French engineering school (Technological University), IMT Atlantique aims to support transitions, train responsible engineers, and use scientific excellence to serve teaching, research, and innovation.

Within the STACK team (https://stack.inria.fr) of the Automatic Control, Production Systems, and Computer Science Department on the Nantes campus of IMT Atlantique, the position aims to contribute to the design, implementation, and validation of agentic services intended for data-driven applications deployed on Device-Edge-Cloud computing infrastructures. This work will be carried out as part of the national PEPR CLOUD project.

2-    MISSIONS

 Under the functional responsibility of the project manager and in collaboration with the project team, the missions are as follows:

1.      Design and develop agentic AI for network edge resource management

2.      Evaluate and validate performance

3-    ACTIVITIES:

1.      Design and develop agentic AI for network edge resource management

• Defines the agentic AI framework, including states, actions, and reward functions, tailored to network edge resource management and task offloading.

• Develops and implements Reinforcement Learning (RL) or Multi-Agent Reinforcement Learning (MARL) policies to autonomously make task offloading decisions on edge resources.

2.      Evaluate and validate performance

• Evaluates the developed policies against baseline strategies, focusing on latency, throughput, energy consumption, CPU utilization, and system stability under varying workloads.

• Evaluates the adaptability and robustness of agentic policies in the face of dynamic workloads and changing network link conditions.

• Refines models based on experimental results.

Minimum education and/or experience required:

• Master’s degree (Bac + 5) or equivalent

• Bachelor’s degree + 4 years (Bac + 4) or equivalent with professional experience $\ge 4$ years

• Bachelor’s degree + 3 years (Bac + 3) or equivalent with professional experience $\ge 6$ years

• Undergraduate degree + 2 years (Bac + 2) or equivalent with professional experience $\ge 10$ years

Desired minimum level of education and/or experience:

• Master’s degree in Computer Science

Essential skills, knowledge and experience:

• Cloud Computing, Edge Computing, Distributed systems

• Python, Docker/Kubernetes

• Reinforcement learning

• Knowledge of sequential decision-making (MDP, influence diagrams, bandits, etc.)

• Be independent and curious about research

• Have an excellent level in English (spoken and written)

Abilities and skills:

• Multi-agent systems and/or Knowledge of the Grid '5000 testbed are a plus.

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

 REMUNERATION :

💰 Indicative salary: €36 614 gross per year, depending on profile and experience (reduced employee social security contributions in the public sector).

CONTACT INFORMATION :

• job content:

  • Thomas LEDOUX – Enseignant Chercheur IMT Atlantique - thomas.ledoux@imt-atlantique.fr

  • Daniel Balouek – Chercheur INRIA - Daniel.balouek@inria.fr

• administrative/HR aspects: Mélissandre MORVAN - rh-recrutement@imt-altantique.fr

Application Deadline: August 15th, 2026

Contract Start Date: November1st, 2026

Interviews: As soon as possible

Legal Notices :

• Nature and Duration of the Contract: Fixed-term contract (CDD) of 3 months under public law or secondment for civil servants, renewable.

• Job Location: IMT Atlantique, Nantes campus - 4 Rue Alfred Kastler, 44300 Nantes

• Internal Use Only:

  • Job Category: II R

• The positions offered are open to all applicants, with accommodations available upon request for candidates with disabilities.

• This position is open to civil servants and/or contract employees.

• Any application may be subject to an administrative investigation.