Gilson Ronchi

Gilson Ronchi

Postdoctoral Research Associate @ Ridge

About Gilson Ronchi

Gilson Ronchi is a Postdoctoral Research Associate at Oak Ridge National Laboratory, specializing in fusion research and diagnostics. He holds a PhD in Physics from the University of São Paulo and has extensive experience in control systems, data acquisition, and numerical modeling.

Work at Oak Ridge National Laboratory

Gilson Ronchi has been serving as a Postdoctoral Research Associate at Oak Ridge National Laboratory since 2021. In this role, he is involved with the DIII-D Fusion Facility located in San Diego, California. His work focuses on advanced research in fusion energy, contributing to the laboratory's mission of developing sustainable energy solutions.

Education and Expertise

Gilson Ronchi holds a Doctor of Philosophy (PhD) in Physics from the University of São Paulo, where he studied from 2012 to 2017. He also earned a Master of Science (MS) in Physics from the University of Campinas between 2010 and 2012, and two Bachelor of Science (BS) degrees in Physics and Computational and Applied Mathematics from the University of Campinas, completed in 2009 and 2011, respectively. His educational background equips him with extensive knowledge in laser-aided diagnostics, VIS/NIR spectroscopy, and microwave diagnostics.

Professional Background

Before his current position, Gilson Ronchi worked at the Dutch Institute for Fundamental Energy Research as a Postdoctoral researcher from 2017 to 2021. He also held a Guest Researcher position at the Max Planck Institute for Plasma Physics during the same period. Earlier in his career, he served as a Graduate Teaching Assistant at the University of São Paulo from 2012 to 2016 and worked as a Junior Electrical Designer and Industrial Electronics Apprentice at WEG from 2000 to 2006.

Technical Skills and Specializations

Gilson Ronchi possesses strong skills in programming, numerical modeling, and statistical data analysis. He has experience in control systems and data acquisition, which enhances his analytical thinking and data-driven problem-solving abilities. His specialization includes the formulation and optimization of linear and non-linear problems, making him proficient in tackling complex scientific challenges.

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