INTERN
Pubblicato il 03-09-2026 - Onsemi in Italia
Job Description
Master Thesis Opportunity: PDN Extraction and Modeling for VRM Applications
This thesis focuses on developing a complete workflow for Power Delivery Network (PDN) extraction and modeling in Voltage Regulator Module (VRM) applications. The goal is to connect PCB layout-based electromagnetic extraction with system-level simulation to improve power integrity analysis and reduce design iterations.
The student will work with tools such as SIMPLIS, ANSYS Q3D, Cadence Sigrity, and MATLAB/Python to extract PDN models from PCB layouts, convert them into simulation-ready formats, integrate them with VRM models, and validate the results against lab measurements.
Expected outcomes include a validated modeling methodology, integrated simulation models, and practical design guidelines for improved PDN/VRM co-design.
This project is suitable for students interested in power electronics, power integrity, PCB modeling, electromagnetic simulation, and system-level power delivery design.
Responsibilities
Master Thesis Opportunity: PDN Extraction and Modeling for VRM Applications
This thesis focuses on developing a complete workflow for Power Delivery Network (PDN) extraction and modeling in Voltage Regulator Module (VRM) applications. The goal is to connect PCB layout-based electromagnetic extraction with system-level simulation to improve power integrity analysis and reduce design iterations.
The student will work with tools such as SIMPLIS, ANSYS Q3D, Cadence Sigrity, and MATLAB/Python to extract PDN models from PCB layouts, convert them into simulation-ready formats, integrate them with VRM models, and validate the results against lab measurements.
Expected outcomes include a validated modeling methodology, integrated simulation models, and practical design guidelines for improved PDN/VRM co-design.
This project is suitable for students interested in power electronics, power integrity, PCB modeling, electromagnetic simulation, and system-level power delivery design