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Statistical method | Internship: Bayesian methods for system-level qualification
ASML · Veldhoven, Netherlands · Posted 2 days ago
Build and validate a Bayesian proof of concept for overlay qualification in ASML's lithography systems, with tooling meant to work across multiple real datasets and drive actual engineering decisions.
Introduction Within ASML, you will join a team focused on solving complex business challenges through data-driven insights and quantitative analysis. The team supports decision-making by transforming data into actionable recommendations that improve processes and performance. During this internship, you will contribute to the development and evaluation of advanced statistical and mathematical models that help address real business questions. You will work together with experienced professionals in an innovative and international environment while applying your academic knowledge to real-world challenges. This internship offers an excellent opportunity to develop your analytical skills and create meaningful impact.
Your assignment In this internship, you will support the team in analyzing complex datasets and developing quantitative models to improve decision-making. You will investigate statistical relationships, evaluate model performance, and translate findings into practical recommendations. The core of this assignment is to develop a proof of concept for applying Bayesian statistics to system-level overlay qualification and determine whether the approach provides sufficient practical benefit for use in our daily engineering work. The internship provides an opportunity to apply advanced analytical techniques while working on business-relevant challenges. Your main responsibilities will be:
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This role centers on Matlab, Statistical Modeling, Mathematical Modeling, and Quantitative Analysis. There are 694 open roles at ASML right now.
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