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Graduation assignment: Data Science for error patterns, Veldhoven

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Location:

Veldhoven, Netherlands 

Job Category:

Recruitment/HR
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EU work permit required:

Yes
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Job Reference:

15012

Job Views:

26

Posted:

26.11.2020

Expiry Date:

31.10.2020
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Job Description:

Are you a Master student with a background in Computer science or related and interested in optimization techniques and statistics? Then this graduation assignment could be interes

Introduction
Are you a Master student with a background in Computer science or related and interested in optimization techniques and statistics? Then this graduation assignment could be interesting for you.

Job Mission
ASML produces machines having nanometer accuracy. This means that the accuracy of the calibrations of these machines is in fraction of nanometer. The Reference and Control team within ASML is responsible for some of these sub-nanometer calibrations. In doing this one wants to find and understand error patterns: this is definitely a very complex and challenging data science problem.

Job Description
The primary goal of your assignment is to find hidden, and so far unknown to ASML, error patterns. These patterns must be statistically significant and therefore must be verified on big amount of data. The secondary goal of your assignment is to give a physical interpretation of the found patterns. This is a data science project and, as such requires the knowledge of data science concepts and optimization techniques like Evolutionary Algorithms, surrogate model optimization, Bayesian optimization, …
You will be working with a team of experts in optimization and metrology.
Company Info
Qreer.com

Eindhoven, Noord-Brabant, Netherlands
Phone:
Web Site: www.Qreer.com
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