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

**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 results and insights to stakeholders in a concise and professional manner. - Navigate uncertainty with analytical thinking and open-mindedness. **What you will need** - Enrolled Master’s student in Data Science, Engineering, Information Systems, or similar - General understanding and passion for data - Proven experience with data-oriented programming languages (e.g. Python, or similar) and basic knowledge of querying (e.g., SQL, SPARQL, or similar) - Experience with relational databases and data processing (e.g. SQL, pandas-based ETL, or similar) - Strong analytical, structured thinking, and problem-solving skills; able to explore solutions independently and show natural curiosity - Good communication skills in English (German language skills beneficial) and ability to work independently - Basic knowledge of graph-based data models (e.g. RDF/SPARQL, or similar) is a plus - Basic knowledge of semiconductor products is a plus - Interest in sustainability, life cycle assessments, product carbon footprints, or semiconductor manufacturing