Stage Innovation : Ingénieur Génie Logiciel / Intelligence Artificielle
Core
Research and development of a spatial prediction tool for satellite position forecasting using AI and scientific computing.
Role type
Final-year engineering student intern (AI/Scientific Computing)
Builds
AI-based satellite position prediction tools and software demonstrators
Domain
Aerospace engineering, Scientific Machine Learning (SciML), Satellite mechanics
Deliverable
production ML models | product features
Required skills
Python, Scientific Computing, Git, Azure DevOps, Docker, CI/CD pipelines, Linux
Preferred skills
Physics-Informed Neural Networks (PINNs), Neural Operators (FNOs, DeepONet), Surrogate modeling, PDEs, Digital Twins, Satellite systems experience
Technologies
PyTorch, JAX, TensorFlow
Responsibilities
Implementing machine learning models for class comparison and optimization, implementing spatial mechanics logic, managing project tasks, managing diverse databases, developing simple front/back-end demonstrators
Seniority
Intern (Final-year engineering student)