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

TL;DR

Master Thesis Student (m/f/d) - Data Modeling for Product Carbon Footprint (Semiconductor Manufacturing): Structuring and connecting complex manufacturing data to support product-level sustainability analysis with an accent on logical data structures, relationships between data points, and query-based retrieval. Focus on designing data models, linking fragmented data for carbon footprint assessments, and developing prototypes for proof-of-concept in real industrial scenarios.

Location: Hamburg (onsite)

Company

Semiconductor manufacturer focused on sustainability and product carbon footprint analysis.

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 for proof-of-concept.
• Document the design, methodology, and findings in a thesis report and present to stakeholders.

Requirements

• Enrolled Master’s student in Data Science, Engineering, Information Systems, or similar
• Proven experience with data-oriented programming (e.g., Python) and querying (e.g., SQL, SPARQL)
• Experience with relational databases and data processing (e.g., SQL, pandas ETL)
• Strong analytical, structured thinking, and problem-solving skills
• Good communication skills in English
• Ability to work independently

Nice to have

• Basic knowledge of graph-based data models (e.g., RDF/SPARQL)
• Basic knowledge of semiconductor products
• Interest in sustainability, life cycle assessments, or semiconductor manufacturing

Culture & Benefits

• Full-time fixed-term contract with attractive remuneration and bonus for excellent thesis.
• Hands-on experience with real industrial data and cross-team collaboration.
• Exposure to complex semiconductor processes and exploratory sustainability work.
• Potential opportunities to continue project or join after graduation.
• Inclusive environment with diversity focus, employee resource groups, and commitment to women in management.