Data-Driven Prediction Model Engineer Internship
2 weken geleden
Assignment Overview
This internship aims to develop a data-driven approach to improve new system design success in manufacturing by predicting and catching design flaws during engineering reviews. You will leverage your skills in data analysis and engineering principles to build upgrades prediction models and engineering review guidance for factory engineers.
Key Responsibilities
- Collect and integrate relevant data sources (e.g., design documents, manufacturing logs, upgrade requests)
- Identify and categorize the root causes of design flaws encountered in past systems/platforms
- Quantify the impact of these design flaws on the manufacturing process (e.g., cycle time increase, rework percentage)
- Develop a model that can predict the likelihood of design flaws (needed upgrades) on new system design based on historical upgrades data
- Develop a set of guidelines for factory engineers to incorporate into the design and review process
Requirements
- Bachelor/HBO student looking for a graduation project or a master student looking for an apprentice internship
- Study background in Engineering, with a specialization or an affinity with Data Science
- Project experience with engineering root cause analysis and data modeling
- Good interpersonal skills, self-driven and persistent
About ASML
ASML is a high-tech company headquartered in the Netherlands. We manufacture the complex lithography machines that chipmakers use to produce integrated circuits, or computer chips. What we do is at the heart of all the electronic devices that keep us informed, entertained and connected. Every day, you use electronics that simply wouldn't exist without our machines.
Behind ASML's innovations are engineers who think ahead. The people who work at our company include some of the most creative minds in physics, electrical engineering, mathematics, chemistry, mechatronics, optics, mechanical engineering, and computer science and software engineering.
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