Stage Innovation : Ingénieur Intelligence Artificielle / Simulation
Core
Research and development of AI models for mechanical simulation, specifically applying deep learning to solve partial differential equations for fluid, structural, and thermal dynamics.
Role type
Research intern (final year engineering student)
Builds
Production-ready AI models and usage platforms (APIs, pipelines) for mechanical simulation
Domain
Engineering / Mechanical Simulation / Artificial Intelligence
Deliverable
production ML models
Required skills
Deep Learning (CNN, GNN, Transformers), Python, PyTorch, TensorFlow, Partial Differential Equations (PDEs), Physics-Informed Neural Networks (PINNs), Autoencoders
Preferred skills
Aerodynamics, Mechanical Simulation, Finite Volume Methods, Finite Element Methods
Technologies
PyTorch, TensorFlow, Python
Responsibilities
Review state-of-the-art literature on AI for mechanical simulation, design and implement advanced AI models for PDEs, compare AI results with traditional numerical simulations, develop usage platforms for AI models
Seniority
Intern (Final year engineering student)