STAGE 2027 - Scientific Machine Learning pour le calcul des structures aéronautiques (f/h)
Core
Developing deep learning algorithms to perform structural analysis of Airbus aircraft structures in cooperation with NVIDIA.
Role type
Scientific Machine Learning Intern (Deep Learning)
Builds
Deep learning models for airframe structural analysis
Domain
Aerospace engineering / Artificial Intelligence
Deliverable
production ML models
Required skills
Deep Learning, Structural Analysis, Applied Mathematics, Python (PyTorch, TensorFlow)
Preferred skills
Knowledge of Airbus wing structures
Technologies
PyTorch, TensorFlow, NVIDIA libraries
Responsibilities
Build structural models and perform analysis to feed datasets for deep learning models; Adapt and exploit open source libraries to build deep learning models; Share and compare results with NVIDIA; Verify and validate models
Seniority
Student Intern
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