Data science
Role details
Job location
Tech stack
Job description
Are you a Bachelor or Master's student and interested in contributing to reducing the amount of defects on the wafer? Then this internship assignment could be interesting for you. Job Mission The department of defectivity focuses on studying the root cause of defects (contaminant particles or damages) with the goal of containing and reducing the amount of defects found on the wafer. The challenges we face are a large statistics set of various particles of different sizes and morphologies. We want to optimize and streamline the overview on this database and look for root causes., Your task is to contribute to the improvement of the scripts in MATLAB to optimize the correlations we make in the existing database by writing new and improved scripts. The results should be a database where the most amount of data is readily available in a clear and understandable manner for the user.
Requirements
We are looking for a Bachelor or Master's student in Physics, Mathematics, Data Science or related. You are an excellent team player and analytical thinker. Proficient experience in MATLAB or Python is required. Furthermore, you are fluent in English, both verbally and in writing. This is an apprentice/graduation internship for 5 days a week with duration of a minimum 3 months. 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., Education Backgrounds: Mathematics Physics Software Engineering Specialties: Other Research (R&D) Education Level: Undergraduate (Bachelors) Postgraduate (Masters) Experience: 0 - 2 years Languages spoken: English Job Location: Veldhoven, Netherlands Keywords: Data science, internship, MATLAB, Python
About the company
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. Over 30 years, we have grown from a small startup into a multinational company with over 60 locations in 16 countries across Europe, Asia and the US.