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's student with a background in software engineering or mathematics, and a specialization in data science, who is interested in big data problems and has basic programming skills but is also interested in learning about the software Knime.
Job Mission
ASML designs, develops and integrates markets and services with advanced Photolithography systems to customers – the major global semiconductor manufacturers – to create chips that power a wide array of electronic, communications and information technology products.
These machines produce big amounts of data, valuable only using Data Science. We are interested to determine whether we can use this data to predict machine faults.
Job Description
You are assignment will be to explore if prediction of hiccups is possible based on provided data from PMA NG DB. You will search for correlations with machine variables using real data.
The assignment requires to:
Education
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 from anyone. We love what they 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 7000 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?
Education Backgrounds: |
Mathematics Software Engineering |
Specialties: |
Big Data |
Education Level: |
Postgraduate (Masters) |
Experience: |
0 - 2 years |
Languages spoken: |
English |
Job Location: | Veldhoven, Netherlands |
Keywords: | Graduation assignment, big data, software engineering, data science |
Type: Job
Deadline: 20th November 2024
Job reference (ID): 16095
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