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Crea una Job Alert gratuita per internship - intrinsic capacitance measurement of power mosfets/igbts using s‑parameters / italia

Internship - Intrinsic Capacitance Measurement of Power MOSFETs/IGBTs Using S‑Parameters

Pubblicato il 04-10-2026 - Strategic Micro Systems of NJ in Italia

OUR STORY

At STMicroelectronics, we believe in the power of technology to drive innovation and make a positive impact on people, businesses, and society. As a global semiconductor company, our advanced technologies and chips form the hidden foundation of the world we live in today.
When you join ST, you will be part of a global business with more than 115 nationalities, present in 40 countries, and comprising over 50,000 diverse and dedicated creators and makers of technology around the world.
Developing technologies takes more than talent: it takes amazing people who understand collaboration and respect. People with passion and the desire to disrupt the status quo, drive innovation, and unlock their own potential.
Embark on a journey with us, where you can innovate for a future that we want to make smarter and greener, in a responsible and sustainable way. Our technology starts with you.
You will support test improvement activities related to the high‑frequency characterization of power MOSFETs and IGBTs.



The objective is to set up and optimize a measurement system for intrinsic device capacitances by exploiting S‑parameters, and to conduct a systematic study versus measurement frequency.
Main Responsibilities

-
- Contribute to the setup, calibration and optimization of a measurement bench for S‑parameter characterization of power devices (e.g. using a Vector Network Analyzer).
- Measure S‑parameters of power MOSFETs/IGBTs and extract intrinsic capacitances (e.g. input, output, reverse transfer capacitances), taking into account package and fixture effects.
- Investigate the frequency dependence of the extracted capacitances and evaluate the validity limits of low‑frequency vs high‑frequency models.
- Analyze the impact of measurement conditions (biasing, fixture, de‑embedding, calibration) on the accuracy and repeatability of the extracted parameters.
- Apply basic statistical analysis to assess measurement dispersion and uncertainty.
- Compare measurement resul

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