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Introduction
Join ASML’s Applied Data Science team, where we develop AI and machine learning solutions that improve the performance and reliability of advanced lithography systems. Our work combines technical expertise with domain knowledge to create data-driven algorithms for calibration, diagnostics, and predictive maintenance. This internship will contribute to exploring cutting-edge transformer models for in-context learning, helping optimize control-loop input estimation in ASML machines. If you are passionate about AI and want to apply your skills to real-world challenges, this is your opportunity. 🚀
Your assignment
You will investigate how pretrained transformer models can perform in-context learning (ICL) for interpolation and control-loop input estimation in lithography systems. The goal is to evaluate and fine-tune models to improve predictive accuracy and decision-making in production processes.
This is a master’s thesis internship for a minimum of 6 months, 5 days per week (3 days on-site). The start date of this internship is as of February 2026.
Your profile
To be suitable for the internship, you:
Other requirements you need to meet:
About ASML
ASML is a leading supplier of lithography equipment, used by the world’s top chipmakers to print microchips that are increasingly powerful, fast and energy efficient. We’re a global team of more than 32,000 people from 122 different nationalities and counting. Headquartered in Europe’s top tech hub, the Brainport Eindhoven region in the Netherlands, our operations are spread across Europe, Asia and the US.
We're moving technology forward
In fact, we’re probably a part of the electronic device you’re using right now. Our lithography technology is fundamental to mass producing semiconductor chips. With it, the world’s top chipmakers are creating microchips that are more powerful, faster and energy efficient.
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