Abstract: Compared to graduate school, the semiconductor industry moves quickly, and so does data analysis. Engineers use this data to resolve critical problems and make consequential choices on a daily basis.
If presented with results that don't present a clear conclusion or a recommendation for concrete action, an engineer might ask, "What's the decision here?" in order to prod their colleague toward taking ownership of their analysis and its implications. A grad student might ask this same question of themselves when deciding what to do after finishing their degree.
David will share his experience starting a data oriented engineering position after completing his PhD, from the early stages of the job hunt to the day-to-day challenges of navigating a fast-paced and highly competitive industry.
Bio: David Hamilton is a Low Yield Analysis Engineer at Intel Corporation, where he analyzes production line data to improve performance and yield of next-generation devices. He graduated from the University of Illinois in 2019 with a PhD in Experimental Condensed Matter Physics. His thesis project, advised by Dale Van Harlingen, probed the pair-density wave state within cuprate superconductors.
The Zoom link will be forwarded to the Illinois Physics Grad Student email list. For a copy of the link, please contact Lance Cooper (slcooper@illinois.edu).
