CareerPlan

STAGE - Optimisation d’architectures de réseaux de neurones sur graphes hétérogènes H/F

Crolles, FranceFull-time2026-10-30 → 2026-11-10

Core

Optimizing heterogeneous graph neural network architectures and active learning methodologies for model generation.

Role type

Intern, Machine Learning Researcher (Graph Neural Networks)

Builds

Optimized GNN models and automated data generation pipelines

Domain

Semiconductor industry + Graph Neural Networks

Deliverable

production ML models

Required skills

Python, Object-Oriented Programming, Machine Learning, Deep Learning

Preferred skills

Heterogeneous Graph Neural Networks (GNN), PyTorch, PyTorch Geometric, Microelectronics knowledge

Technologies

PyTorch, PyTorch Geometric

Responsibilities

Compare different GNN architectures and feature fusion operators; Evaluate existing models; Automate database generation

Seniority

Intern