Investigate and extend existing multivariate analysis techniques bij ASML

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Beschrijving

Background information

ASML produces lithographic scanners able to print 3D structure with nanometre accuracy on silicon wafers. We compare different wafers using mathematical and statistical methodologies to see if there are differences on the 3D structures printed on them. This allows us to better understand the way our lithographic scanners work.

Your assignment

You will be working within the System Overlay Performance NXT group improving the way multivariate analysis is employed to analyse overlay on wafers. You will get to know the ways, the means, and the main challenges ASML faces when analysing wafers with existing mathematical and statistical methodologies. Furthermore, you will get an insight into the entire ASML machine. The following tasks could be addressed during your assignment.

  • Have or be willing to acquire detailed knowledge on multivariate analysis, specifically PCA;
  • Acquire knowledge of the use, and its limitations, of multivariate analysis within ASML;
  • Propose variations of multivariate analysis techniques better fitting ASML needs;
  • Apply existing and novel multivariate techniques to different types of data;
  • Summarize and present results of investigations to a heterogeneous audience.
  • Apply your statistical knowledge to add confidence intervals to test- or breakdown results.

Your profile

You are close to complete a Master degree in either Applied Mathematics, Applied Statistics or a related discipline. You like to explore, learn and build cool stuff and you love working with data and extracting relevant information from it. You have good programming skills and are familiar with either Matlab and/ or Python. You are motivated for a challenge and are self-assured to drive a project. You are fluent in English, have good communication skills and your grades are excellent. Please attach a motivational letter with a proposal and a recent grade list to your application. This is a graduation or apprentice internship with a minimum duration of 6 months, for 5 days a week. The start date is as soon as possible. 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.

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.

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?