Master Thesis Student (m/f/d) - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing
Nexperia • Hamburg, Hamburg • Posted May 31, 2026
About the Role
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