"Electrical Engineering Graduation Internship: Improving Temporal Control with Exogenous Data"

4 dagen geleden


Veldhoven, Noord-Brabant, Nederland ASML Voltijd

Introduction

ASML is seeking a graduating student in Data Science, Physics, Electrical Engineering, Mathematics, or a related field to work on improving temporal control using exogenous data. The successful candidate will have a good understanding of signal processing and machine learning, as well as proficiency in programming languages such as Matlab or Python.

Background Information

Our team is part of the BL-Apps MPC D&E PWC Overlay & Alignment group, working on Process Window Control On-Product Performance. We are looking for a student to help us improve the time filter used for feedback control by enriching the model parameter data with exogenous data.

Your Assignment

As a graduating student, you will be responsible for writing a test plan, collecting the right data sets, and developing tooling for different potential temporal control models. You will also perform proof book analysis and write a report to help us decide whether to expect benefit from changing the way we handle temporal control.

Your Profile

To be a perfect match for this internship, you should have a good understanding of signal processing, Fourier analysis, machine learning, auto-regression models, Kalman filters, and time-series prediction. You should also be proactive and capable of working independently, with great communication skills in English both verbally and in writing.

About ASML

ASML is a high-tech company headquartered in the Netherlands, manufacturing complex lithography machines for the chipmaking industry. We believe in diversity and inclusion, and we are an Equal Opportunity Employer. If you are interested in joining a dynamic team and working on challenging projects, please apply for this internship.



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