12 days ago - req26268
Data Science Graduation Internship: Machine learning & pattern recognition
Computer science & software engineering
In a nutshell
No experience (Student)
Data science, Computer science & software engineering, Mathematics
Are you a Master student with a background in Data Science? Do you have basic programming skills in Python? Then this graduation project could be interesting for you!
Internship type: Graduation
Start date: September 2021
ASML designs, develops and integrates markets and services with advanced Photolithography systems used by 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, whose value is only possible using Data Science. Curios about search and finding the pros and cons of the High Performance Cluster and KNIME software in collaboration with ASML employees to build machine learning models?
You will use machine learning & pattern recognition to find output optimal scanner settings for our customers.
The assignment will include:
1.Getting familiar with ASML scanner productivity loggings.
2.Combine various data sources from various machines and apply machine learning/pattern recognition techniques to it.
3.Search for relations/patterns in the logging that can improve scanner output.
4.Write a report.
You will learn the software KNIME – namely KNIME Analytics Platform, KNIME Server and KNIME Web portal - to apply machine learning algorithms to scanner logging. Your study will demonstrate the benefit of machine learning for scanneroutput optimization. This is a practical exercise as it will be applied on scanner data used by our customer support. You will also experience working in a high-tech company within a multicultural team.
• You are a Master graduation student in Data Science.
• Basic programming skills are required in preferablyPython.
• Knowledge and experience with Spotfire and KNIME is a nice to have.
• You are driven to produce a new solution to the highest quality standards.
This is a Master graduation assignment with a duration of 6 months. The start date is in September 2021.
Please note that we can only consider students who are enrolled at a school for the entire duration of the internship.
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 based on your educational level and number of days per week, plus a possible housing or travel allowance. More information on the allowances can be found on our website. In addition you will 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 applications 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. At ASML we are always pushing technology further.
Students: Getting ready for the real-world
Teamwork is key within ASML. Our R&D team is more than 5,500 people strong and worldwide we form one big team with over 25,000 employees. These colleagues have 123 different nationalities and work at our major sites on three continents.
Dozens of diverse, interdisciplinary teams work in parallel to meet a challenging development schedule. In this inspiring 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 and get a feel for that excites you most. Use your education, gain real-life working experience and explore the world of high-tech – all at the same time.
How will you be part of progress?