STAGE 2027 - Intelligence Artificielle : Optimisation de la production aéronautique (F/H)
Core
Develop self-learning models to automate assembly line scheduling and optimize production planning in the aeronautical industry.
Role type
Research intern (Machine Learning & Operations Research)
Builds
Operational research tools for automated assembly scheduling
Domain
Aeronautics, Supply Chain Optimization, Machine Learning
Deliverable
production ML models
Required skills
Python, Machine Learning frameworks (scikit-learn, PyTorch, TensorFlow), Combinatorial optimization algorithms (MILP, CP, SAT), Mathematical modeling
Preferred skills
Industrial engineering, Process modeling
Technologies
Cloud computing
Responsibilities
Analyze existing supply chain optimization methods, Develop machine learning methods for operator constraints and preferences, Implement and test methods on real data, Evaluate performance and propose improvements
Seniority
Student (Internship)
