| 日時(Date) | 2022年12月23日（金）4限（15:10--16:40) Fri. Dec. 23th, 2022, 4th period (15:10--16:40) |
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| 場所(Location) | face-to-face, エーアイ大講義室, AI Inc. Seminar Hall （L1） |
| 司会(Chair) | 久保 |
| 講演者(Presenter) | Megumi Fukuda (Education customer success engineering, MathWorks) / 福田 めぐみ（マスワークス合同会社 カスタマーサクセスエンジニアリング部（教育機関）, カスタマーサクセスエンジニア（教育機関担当）） |
| 題目(Title) | Transition from academia to industry: lessons and tips |
| 概要(Abstract) | After earning a doctoral degree, there is also an option to pursue a career in the industrial sector rather than aiming to become a university faculty or a researcher in academia. However, because of differences in required skills and work culture, some ex-academics find it difficult to work effectively in the industry.
In this lecture, I would like to talk about my experience in research and study abroad in academia, my experience at a company (MathWorks), the differences in required skills in industry and academia, and transferable skills that students can learn during their MSc/PhD. |
| 講演言語(Language) | English |
| 講演者紹介(Introduction of Lecturer) | Megumi Fukuda is a customer success engineer at MathWorks. Before joining MathWorks, she was a postdoctoral researcher at RIKEN. She has over 10 years of experience in cognitive neuroscience.
She holds a BA degree in Psychology from the University of Tokyo (2009) and an MSc from Nara Institute of Science and Technology (2011), and a PhD at Institute of Cognitive Neuroscience, University College London (2016). |