STAGE - chargé d’étude R&D - amélioration d’une architecture Transformer pour l’exploitation des réseaux électriques F/H
Core
Improve a Transformer architecture to detect critical elements in the electrical grid that could cause cascading failures.
Role type
Research intern (Machine Learning)
Builds
Production ML models for grid stability analysis
Domain
Energy / Electrical Grid / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, Transformer architectures, Hyperparameter optimization, Ablation studies, Classification metrics (PR-AUC)
Preferred skills
Optuna, Energy sector knowledge
Technologies
Python, PyTorch, Optuna
Responsibilities
Understand existing architecture and data; Design evaluation protocols; Conduct ablation studies; Optimize hyperparameters; Evaluate model performance; Document results and prepare scientific papers.
Seniority
Intern
