CS27 Bac+5 Stage IA et Optimisation Numérique Estimation État de Santé des Batteries H/F
Core
Develop advanced algorithms for estimating battery health states in electric vehicles using AI, numerical optimization, and physics-informed models.
Role type
Applied research intern (Data Science & Machine Learning)
Builds
Production-ready software components and reusable libraries for battery state estimation
Domain
Automotive / Electric Vehicles / Battery Management Systems
Deliverable
production ML models
Required skills
Python, Object-Oriented Programming, Applied Mathematics, Numerical Optimization, Machine Learning, Deep Learning, Physics-Informed Neural Networks (PINN), Inverse Problems, Big Data Analysis
Preferred skills
Research experience, Industrial software engineering practices
Technologies
Python, PINN, Big Data
Responsibilities
Develop new battery health estimation methods using connected vehicle data and lab tests; Implement hybrid physics/AI models; Optimize non-convex problems on industrial datasets; Industrialize research prototypes into robust software; Validate solutions on real-world electric vehicle data.