CIFRE - Optimisation des performances et de la fiabilité de la mémoire non volatile embarquée par des algorithmes d'apprentissage par renforcement - H/F
Tasks
- Apply optimization methods including swarm optimization
- Build measurement acquisition pipelines with Python
- Compare agents based on trial count and robustness
- Create and manage machine learning datasets
- Develop AI and machine learning algorithms including surrogate models
- Integrate process variability and aging into optimization
- Optimize activation signals and test conditions for eNVM
- Synthesize results and propose industrialization scenarios
- Train and evaluate reinforcement learning agents
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Data Analysis | Machine Learning | Machine Learning Pipelines | Optimization | Python | Reinforcement Learning | Surrogate models | Swarm optimization | Test automation
Education
Bachelor of Engineering | Master of Engineering | Master of Science
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