Opportunity Description
About this role
You will work on structuring and connecting complex manufacturing data to support product-level sustainability analysis. For this you will work with real industrial data and collaborate with domain experts.
The focus is on:
1. Designing a logical data structure
2. Understanding how different data points relate to each other
3. Enabling data retrieval and analysis through queries
In this thesis, you will develop a structured data approach to organize and manage product-level data to support accurate Product Carbon Footprint (PCF) assessments in semiconductor manufacturing, which requires working with complex and fragmented data.
What you will do
Ready to Apply?
Submit your application for Master Thesis Student (m/f/d) - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing at Nexperia
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