STAGE - IA pour la calibration de modèles d’interconnexion - F/H
Core
Develop a Graph Neural Network (GNN) surrogate model to accelerate SPICE model calibration for interconnects in microelectronics.
Role type
Intern, Machine Learning Engineer (GNN)
Builds
AI-based surrogate models for circuit simulation
Domain
Semiconductor / Microelectronics / SPICE Modeling
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, Machine Learning, Graph Neural Networks, Data Analysis
Preferred skills
SPICE modeling, Physical simulations, Microelectronics domain knowledge
Responsibilities
Generate and analyze datasets, Study technological parameter influence on electrical characteristics, Design and develop the AI model, Evaluate model performance and robustness, Collaborate with modeling experts to validate results, Present conclusions and recommendations
