About this role
Statistical method | Internship: Bayesian methods for system-level qualification Beschrijving 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
- Familiarize yourself with overlay measurement data, performance metrics, machine populations, and current pre/post-change analysis practices;
- Develop and validate a proof-of-concept Bayesian statistical model for system-level overlay qualification.
- Evaluate the proposed approach using real measurement data, simulated data, or a combination of both;
- Compare the proposed methodology with current methods and translate the results into cle...