Thèse Apprentissage par renforcement pour l’optimisation de l’allocation de ressources (F/H)
Thales(2 months ago)
About this role
Thales is recruiting a CIFRE doctoral candidate for a 3-year PhD on using deep reinforcement learning to optimize resource allocation for satellite IoT uplinks. The position is co-supervised with INRIA and is based primarily in Gennevilliers with periodic presence in Lyon. The role is hosted within Thales's Hardware & Embedded Software competence center focused on communications and resilient infrastructure for defense and aerospace systems.
Required Skills
- Deep Learning
- Reinforcement Learning
- Python
- PyTorch
- Signal Processing
- Wireless Communications
- Multi-Agent RL
- Hyperparameter Tuning
- Research
Qualifications
- Master 2
About Thales
thalesgroup.comFrom Aerospace, Space, Defence to Security & Transportation, Thales helps its customers to create a safer world by giving them the tools they need to perform critical tasks
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