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.
Introduction
This is a graduation assignment for a master student in Applied Mathematics, Electrical Engineering or a related discipline with knowledge of information theory and signal analysis who is interested in using simulations and real machine data to set up experiments.
Job Mission
The complex machines made by ASML produce enormous amounts of data. Some of if it might actually contain information about failures and deviations in the system's behavior. The first challenge of diagnostics is to narrow down the list of data to look at. We could call this a reduction of the search space.
ASML is focusing more and more on big data type of approaches. Some of these approaches require a lot of computational resources (e.g. machine learning). Information theory based approaches seem to be more promising in terms of computational power required and the involvement of domain experts. Part of the processing flow is the calculation of what we call features. Each signal is described by a number of features (an analogy is the decomposition of a signal into frequency components). It is believed that information is contained in frequency components and that due frequency dependent phase delays, causality might depend on the frequency. That is, the causal direction might reverse within a relationship as a function of frequency.
Job Description
Your assignment will be to use both simulations and real machine data, to set up experiments to prove or disprove the above hypothesis. Secondly, you will devise methods using power spectral density (frequency domain) analysis to further narrow down/further reduce the search space and/or find ways to use this for validation of our information theory based diagnostic methods.
Education
You are a master student in Applied Mathematics, Electrical Engineering or related with knowledge of information theory and signal analysis. Your English communication skills are excellent.
This is a graduation internship for 5 days a week with duration of a minimum 6 months. 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.
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.
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?
How will you be part of progress?
Please apply with your CV and cover letter by the 'apply' button below
Remember - you found this opportunity on Qreer.com
Education Backgrounds: |
Electrical Engineering Mathematics |
Specialties: |
Electromagnetics Electronics / Components |
Education Level: |
Postgraduate (Masters) |
Experience: |
0 - 2 years |
Languages spoken: |
English |
Job Location: | Veldhoven, Netherlands |
Type: Internship
Deadline: 21st December 2024
Job reference (ID): 15059
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