Sebastian Doerner is a Wireless Research Engineer with 11 years of experience bridging advanced machine learning and physical-layer communications research, now based in Sunnyvale, California. He holds a PhD in Electrical Engineering from Universität Stuttgart and spent seven years as a research scientist there focusing on deep learning for signal processing, error-control coding, and L1/PHY technologies targeting future 6G systems. His work spans theoretical modeling, algorithm development, and hands-on experimentation with software defined radios, reflected in a body of publications and citations. At Bosch USA he now applies that research-to-product mindset to industrial wireless challenges, translating novel ML-driven PHY insights into deployable solutions. Beyond academia, he has practical field experience calibrating and operating high-precision systems for live sports, a detail that highlights his ability to deliver reliable real-world performance under pressure. Colleagues describe him as someone who combines rigorous analytical depth with an appetite for making cutting-edge communications research operational.
11 years of coding experience
Dr.-Ing. (PhD), Elektrotechnik und Informationstechnik, Dr.-Ing. (PhD), Elektrotechnik und Informationstechnik at Universität Stuttgart
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Sebastian Doerner - Wireless Research Engineer at Bosch USA