Machine Learning Engineer for Vacuum System Optimization
19 uur geleden
At ASML, we are pushing the boundaries of innovation in the semiconductor industry. As a Machine Learning Engineer for Vacuum System Optimization, you will play a crucial role in developing cutting-edge software tooling to integrate statistical process control of vacuum systems machine data and signals.
The goal of this internship is to build a comprehensive solution that analyzes fleet data, tests and designs statistical rules based on data distributions and time behavior, and creates dashboards for real-time SPC monitoring. You will work closely with hardware owners to link outliers and trends to possible failure modes and physical processes.
To succeed in this role, you should have a strong background in Applied Mathematics, Data Science, or Physics, and proficiency in Python scripting and MATLAB programming. Experience with statistics and machine learning algorithms is also essential. As a team player, you should be able to communicate effectively and work collaboratively in a dynamic environment.
ASML offers a competitive salary of approximately €55,000 per year, which includes a monthly internship allowance of up to €600, housing benefits, and free public transportation. Our company values diversity and inclusion, and we welcome applications from students of all nationalities.
In this role, you will gain valuable experience in a highly innovative environment, working alongside experts in the field of machine learning and vacuum system optimization. You will have the opportunity to contribute to the development of new technologies and techniques, and to collaborate with a global team of talented engineers and researchers.
The internship duration is for a minimum of 6 months, starting in September 2024. You must be enrolled at a higher education institution for the entire duration of the internship and be located in the Netherlands. If you are currently living or studying outside of the Netherlands, please include your willingness to relocate in your CV or motivation letter.
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