Graduation assignment: Analyze data to diagnose performance iss Internship in Veldhoven, Netherlands

ASML is one of the world’s leading manufacturers of chip-making equipment.

Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.

ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.

Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.

As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.

But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.

So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.

Graduation assignment: Analyze data to diagnose performance iss Job Description

Introduction
This is a graduation assignment for a master’s student in Engineering, Mathematics, Computer Science or Data Science with good communication and analytical skills, a hands-on attitude, who deals well with uncertainty, and has experience with data analytics. 

Job Mission
ASML has thousands of lithography machines operating 24/7 at chip factories throughout the world. Due to their extreme accuracy, problems with lithography machines occur quite regularly. Downtime in a high-end chip factory is extremely costly: nominal costs for customers can be $20 per second of unscheduled downtime.  

Performance problems on these machines are manually diagnosed mainly by constantly measuring (at sample intervals of minutes/hours/days) thousands of signals generated inside the machine. These signals are collected daily for all ASML machines in the field. In the past, this kind of data has mainly been used by human experts.  
The ambition is to transition to structural automated monitoring whereby software helps capture the knowledge of the experts to allow generalists to deal with common failure modes.

Job Description
You will investigate ways to preprocess signals (time series data) collected from a large population of ASML machines in such a way that understood abnormal behavior (“symptoms lead to problem via known mechanism”) are recognized and made explicit.

This helps disseminate knowledge, check “known” assumptions and, where possible, the system should makes unexpected behavior (“strangely enough X leads to Y”) explicit.
This helps empirically investigate complex system behavior and discover forgotten or unknown dependencies. We would prefer actual working examples of the techniques/ideas/approaches discussed.

Graduation assignment: Analyze data to diagnose performance iss Job Requirements

Education
You are a master’s student in Engineering, Mathematics, Computer Science or Data Science.
You have good communication and analytical skills, hands-on attitude, you deal well with uncertainty, and have experience with data analytics. Furthermore, you are proactive and you have a good knowledge of English, both written and spoken.

This is a graduation internship for 5 days a week with duration of a minimum 6 months. 

Please keep in mind that we can only consider students (who are enrolled at a school during the whole internship period) for our internships and graduation assignments. 

Other information
What ASML offers
Your internship will be in one of the leading Dutch corporations, gaining valuable experience in a highly dynamic environment. You will receive a monthly internship allowance of 500 euro (maximum), plus a possible housing or travel allowance. In addition, you’ll get expert, practical guidance and the chance to work in and experience a dynamic, innovative team environment.

ASML: Be part of progress
We make machines that make chips – the hearts of the devices that keep us informed, entertained and safe; that improve our quality of life and help to tackle the world’s toughest problems.
We build some of the most amazing machines that you will ever see, and the software to run them. Never satisfied, we measure our performance in units that begin with pico or nano.

We believe we can always do better. We believe the winning idea can come from anyone. We love what we do – not because it’s easy, but because it’s hard. 

Graduation assignment: Analyze data to diagnose performance iss Application Information

Students: Getting ready for real-world R&D
Pushing technology further is teamwork, and our R&D team is more than 5,500 people strong, with major sites on three continents. Dozens of diverse, interdisciplinary teams work in parallel to meet a challenging development schedule. 
In such an environment, your colleagues may be sitting next door, or they could be thousands of kilometers away in a different country, or even working for a different company.

An internship at ASML is your opportunity to get to know this world of industrial-strength R&D and get a feel for that excites you most. Will you design a part of the machine, or make sure it gets built to the tightest possible specifications? Will you write software that drives the system to its best performance, or work side-by-side with the engineers of our customers in a fab, optimizing a system to the requirements of the customer?

Graduation assignment: Analyze data to diagnose performance iss Summary

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