Post-doctoral position (M/F) in reinforcement learning for networked systems
- Researcher in FTC
- 12 mounth
- Doctorate
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Institut de Recherche en Informatique de Toulouse
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
31062 TOULOUSE
Contract Duration
12 mounth
Date of Hire
04/05/2026
Remuneration
From 3 041,58 to 4 216,70 euros gross monthly according to experience
Apply Application Deadline : 07 April 2026 23:59
Job Description
Missions
The recruit will conduct research on the development and analysis of reinforcement learning algorithms for networked and communicating systems. The objective is to combine learning methods and network models in order to optimize sequential decisions (routing, resource allocation, scheduling) in uncertain environments.
Activity
- Develop and analyze reinforcement learning algorithms adapted to networked systems.
- Study sequential decision problems in contexts such as routing, resource allocation or queuing networks.
- Contribute to the theoretical modeling and performance analysis of learning algorithms.
- Implement and experimentally evaluate the proposed approaches.
- Participate in the writing of scientific articles and the dissemination of results.
- Collaborate with researchers from the IRIT laboratory as well as with associated scientific partners.
Your Profil
Skills
- Solid training in machine learning, particularly in reinforcement learning.
- Good knowledge of probability, stochastic processes and optimization
- Skills in modeling and analysis of algorithms. - Experience in scientific programming (Python, Matlab or equivalent).
- Interest in networked systems, distributed systems or communication networks.
- Ability to conduct research independently and collaborate in an international scientific environment.
- Excellent scientific communication skills (writing articles, presentations).
Your Work Environment
Le poste est basé à l'IRIT (Institut de Recherche en Informatique de Toulouse), un laboratoire majeur en informatique regroupant plusieurs centaines de chercheurs et doctorants. La personne recrutée sera accueilli·e au sein du département ASR (Architecture, Systèmes et Réseaux), dont les thématiques couvrent notamment les réseaux, les systèmes distribués et l'apprentissage automatique appliqué aux systèmes. Le projet s'inscrit dans un environnement scientifique dynamique, avec des collaborations possibles avec plusieurs chercheurs du laboratoire travaillant sur l'apprentissage par renforcement et les systèmes en réseau, ainsi qu'avec l'écosystème toulousain de recherche en intelligence artificielle, notamment dans le cadre de la chaire ANITI dédiée à l'apprentissage par renforcement.
Compensation and benefits
Compensation
From 3 041,58 to 4 216,70 euros gross monthly according to experience
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR5505-CHLBOU-105 |
|---|---|
| CN Section(s) / Research Area | Information sciences: bases of information technology, calculations, algorithms, representations, uses |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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