Fraunhofer Institute for Digital Medicine MEVIS
Master's thesis Data-Linkage-Systems for Integrated Health, Geospatial and Population Data(m/w/x)
Full-timeInternshipOn-site
Hamburg
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NENexperia Germany
Master Thesis Student - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing(m/w/x)
Hamburg
Full-timeInternshipOn-site
Green Job
Data Science
Nejo AI Summary
Developing structured data models for product carbon footprint assessments using real industrial data. Master’s student in Data Science or similar, with Python and SQL skills required. Hands-on experience with semiconductor manufacturing processes, bonus for excellent thesis.
Requirements
- Enrolled Master’s student in Data Science, Engineering, Information Systems, or similar
- Passion for data
- Data-oriented programming languages (e.g. Python, or similar)
- 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 and structured thinking skills
- Problem-solving skills
- Independent exploration of solutions
- Natural curiosity
- Good communication skills in English
- 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
Tasks
- Work with real industrial data
- Collaborate with domain experts
- Develop structured data approach for PCF assessments
- Analyze existing manufacturing and product-level data
- Design structured data model for product-relevant data
- Explore and link data for carbon footprint analysis
- Develop queries and small-scale prototypes
- Apply data model to practical case study
- Document design, methodology, and findings
- Present results to stakeholders
- Navigate uncertainty with analytical thinking
Education
- Currently in higher education
Languages
- English – Advanced
- German – is a plus
Tools & Technologies
- Python
- SQL
- SPARQL
- pandas
- RDF
Benefits
Competitive Pay
- Attractive remuneration
Bonuses & Incentives
- Bonus for very good final thesis
Diverse Work
- Hands-on experience with real product-level industrial data
- Exposure to complex semiconductor manufacturing processes
- Experience working in a new and exploratory area
Startup Environment
- Cross-team collaboration
Learning & Development
- Development of strong analytical skills
- Development of problem-solving skills
- Development of stakeholder management skills
Purpose-Driven Work
- Shaping how future work will proceed
Career Advancement
- Potential opportunities to continue project after graduation
- Potential opportunities to join company after graduation
Other Benefits
- Employee resource groups
- Pride Network Group
- Global Women's groups
- Local Women's groups
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nexperia Germany and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Nexperia Germany
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NENexperia Germany
Master Thesis Student - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing(m/w/x)
Hamburg
Full-timeInternshipOn-site
Green Job
Data Science
Nejo AI Summary
Developing structured data models for product carbon footprint assessments using real industrial data. Master’s student in Data Science or similar, with Python and SQL skills required. Hands-on experience with semiconductor manufacturing processes, bonus for excellent thesis.
Requirements
- Enrolled Master’s student in Data Science, Engineering, Information Systems, or similar
- Passion for data
- Data-oriented programming languages (e.g. Python, or similar)
- 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 and structured thinking skills
- Problem-solving skills
- Independent exploration of solutions
- Natural curiosity
- Good communication skills in English
- 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
Tasks
- Work with real industrial data
- Collaborate with domain experts
- Develop structured data approach for PCF assessments
- Analyze existing manufacturing and product-level data
- Design structured data model for product-relevant data
- Explore and link data for carbon footprint analysis
- Develop queries and small-scale prototypes
- Apply data model to practical case study
- Document design, methodology, and findings
- Present results to stakeholders
- Navigate uncertainty with analytical thinking
Education
- Currently in higher education
Languages
- English – Advanced
- German – is a plus
Tools & Technologies
- Python
- SQL
- SPARQL
- pandas
- RDF
Benefits
Competitive Pay
- Attractive remuneration
Bonuses & Incentives
- Bonus for very good final thesis
Diverse Work
- Hands-on experience with real product-level industrial data
- Exposure to complex semiconductor manufacturing processes
- Experience working in a new and exploratory area
Startup Environment
- Cross-team collaboration
Learning & Development
- Development of strong analytical skills
- Development of problem-solving skills
- Development of stakeholder management skills
Purpose-Driven Work
- Shaping how future work will proceed
Career Advancement
- Potential opportunities to continue project after graduation
- Potential opportunities to join company after graduation
Other Benefits
- Employee resource groups
- Pride Network Group
- Global Women's groups
- Local Women's groups
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nexperia Germany and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Nexperia Germany
Industry
Manufacturing
Description
Nexperia is dedicated to inclusivity and diversity, aiming to enhance team performance and support various employee resource groups.
Not a perfect match?
- Fraunhofer Institute for Digital Medicine MEVIS
Master's thesis Data-Linkage-Systems for Integrated Health, Geospatial and Population Data(m/w/x)
Full-timeInternshipOn-siteHamburg - Nexperia Germany
Master Thesis Student – TCAD Simulation of Switching Behavior of BJTs(m/w/x)
Full-timeInternshipOn-siteHamburg - Vibracoustic SE & Co. KG
Master Student Software/Tool Development(m/w/x)
Full-timeWorking StudentOn-siteHamburg - Tenneco
Masterand im Bereich Data, AI & Analytic(m/w/x)
Full-timeInternshipOn-siteGlinde - Fraunhofer-Gesellschaft
Masterarbeit im Bereich Data-Linkage-Systems für integrierte Gesundheits-, Geo- & Bevölkerungsdaten(m/w/x)
Full-timeInternshipOn-siteHamburg