Introduction

Are you a master student looking for your graduation project in industry? Is your study related to Computer Science or Data Science in the engineering domain? Do you have proven experience with Data Analytics? This assignment could be interesting for you!

Background information

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. Some parameters are monitored and can give an indication of the likelihood of the cause. However, several parameters can represent an anomaly and one event can be caused by several causes. Therefore, it is necessary to develop a methodology that better covers all these issues and leads to the most probable cause.

Your assignment

You will analyze and compare methods to determine the probable causality between symptoms and failure mode from a large population of ASML machines in such a way that shift the decision taking from expert to model based. The goal is to find the most effective method.

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.

This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Your profile

To be the perfect match for this assignment, you:

• are a master student in Computer Science, Data Science or something related, within the engineering domain;

• have relevant experience in maintenance, Python and data analytics;

• have good communication and analytical skills, a hands-on attitude, and you deal well with uncertainty. Furthermore, you are proactive and you have a good knowledge of English, both written and spoken.

• have a sufficient motivation to work on this assignment. Hence, a cover letter is required.

This assignment is suitable for a master student looking for a graduation assignment. The minimum duration is 6 months, preferably 5 days per week (minimum 3 days on-site). The starting date is September 2024.

Please note that we can only consider students who are enrolled at a school for the entire duration of the internship.

Change the world – one nanometer at a time

Become an intern at a Dutch company that’s a global industry leader. You’ll gain valuable experience in a highly innovative environment – one that sparks your imagination and creativity. In addition to a monthly internship allowance of maximum €600 (plus a possible housing and free public transport), you’ll get practical guidance from experts in the field and the chance to work in and experience a dynamic team environment.

ASML - be part of progress

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, computer science and fields which are not technical oriented.

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.

Students - getting ready for real-world R&D

We’re a global team of more than 40.000 people of 140 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. 

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 the opportunity to get to know not only the world of industrial-strength R&D, but yourself – you’ll discover just what 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?

Diversity and inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Need to know more about applying for a job at ASML? Read our frequently asked questions.