Anja Zernig coordinates Data Science projects at KAI Kompetenzzentrum Automobil- und Industrieelektronik GmbH in Villach, which is a 100% subsidiary of Infineon Technologies Austria AG. Anja studied Technical Mathematics at the University of Klagenfurt and received her PhD in 2016. Afterwards, she has been applied as a researcher at KAI, focusing on topics like outlier and anomaly detection, pattern recognition, applied statistical methods and Machine Learning techniques. Since 2019 she has been coordinating a team of Data Scientists, involved in various national and international funding projects and has been acting as a link between the industry and academic collaboration partners. She is supervising researchers and students, dealing with innovative data-analytical concepts within the semiconductor production, testing and optimization. Beside this, Anja participates in and supports local Data Science activities, e.g. she is part of the organizing team of the Women in Data Science Villach iniciative. In recent times, she is focusing on deployment strategies to guarantee sustainable Machine Learning lifecycles.
Technical Vision Talk: “A wide range of opportunities for Data Scientists in the semiconductor industry”
It is almost needless to mention how important semiconductors are for the whole world, as every person uses them on a daily basis – consciously or unconsciously. From a production point of view, this means that the demand for semiconductor devices is constantly increasing. To meet the growing demand, new production halls are being built, equipped with smartest tools and monitoring concepts along the entire semiconductor production pipeline, providing all the data waiting to be analyzed and tell their story.
In my talk, I will present the potentials of different data sources for Data Scientists in the semiconductor environment and show how exciting it is to work in an interdisciplinary research and development team.
Thu. May 19 | 11:20 am– Technical Vision Talk: “A wide range of opportunities for Data Scientists in the semiconductor industry”