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Master Thesis Student (m/f/d) - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing

Nexperia · Hamburg, DE

You will work on structuring and connecting complex manufacturing data to support product-level sustainability analysis. For this you will work with real ind...

Job 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: - Analyze existing manufacturing and product-level data to identify structures and relationships. - Design a structured data model to organize product-relevant data. - Explore and link data to support product-level carbon footprint analysis. - Develop queries and small-scale prototypes to test the data model. - Apply the model to a practical case study to demonstrate functionality and data integration (proof-of-concept). - Document the design, methodology, and findings in a clear and structured thesis report. - Present resul...