Veldhoven, Netherlands
Internship Explorer
Internship Explorer
In this internship, you investigate how machine learning, statistical modeling, and optimization can improve alignment performance. You work with experts to understand the current alignment pipeline and propose new algorithmic approaches that enhance accuracy, robustness, or computational speed. The assignment combines research, prototyping, and evaluation of algorithmic concepts for real‑world use cases. Your main responsibilities will be: * Explore data‑driven methods that address wafer variability, noise, and measurement uncertainty. * Develop and test new algorithms that improve accuracy or computational efficiency. * Analyze real or simulated alignment data to evaluate algorithm performance. * Design and compare modeling or optimization strategies for key alignment challenges. * Collaborate with domain experts to refine problem statements. * Translate research insights into practical prototypes or demonstrators. * Present results and recommendations for potential next steps. This is a bachelors/master’s (thesis ) internship for a min 6 months but preferably 9 months, 4–5 days per week (at least 2 days on‑site). The start date of this internship is September 2026.
