STAGE - Génération par IA de composants RF passifs F/H
Core
Develop an automated generator for RF passive components using AI and algorithms to discover new structures and optimize performance under geometric and electrical constraints.
Role type
End-of-studies intern (6 months)
Builds
Automated design flow for RF passive components
Domain
Semiconductor industry, RF electronics, AI-driven design
Deliverable
production ML models
Required skills
Python, Matlab, Cadence, Spectre, RF electronics fundamentals, programming
Preferred skills
Multidimensional optimization, layout design, performance evaluation
Responsibilities
Analyze documentation on generation and multidimensional optimization; Understand geometry-performance relationships; Propose and implement a generation/optimization loop for component layouts; Compare automated vs manual performance; Evaluate benefits and propose improvements
