Fraunhofer Institute for Digital Medicine MEVIS
Master's thesis Data-Linkage-Systems for Integrated Health, Geospatial and Population Data(m/w/x)
VollzeitPraktikumnur vor Ort
Hamburg
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
NENexperia Germany
Master Thesis Student - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing(m/w/x)
Hamburg
VollzeitPraktikumVor Ort
Green Job
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fortgeschritten
- Deutsch – ist ein Plus
Tools & Technologien
- Python
- SQL
- SPARQL
- pandas
- RDF
Benefits
Attraktive Vergütung
- Attractive remuneration
Boni & Prämien
- Bonus for very good final thesis
Abwechslungsreiche Aufgaben
- Hands-on experience with real product-level industrial data
- Exposure to complex semiconductor manufacturing processes
- Experience working in a new and exploratory area
Startup-Atmosphäre
- Cross-team collaboration
Weiterbildungsangebote
- Development of strong analytical skills
- Development of problem-solving skills
- Development of stakeholder management skills
Sinnstiftende Arbeit
- Shaping how future work will proceed
Karriere- und Weiterentwicklung
- Potential opportunities to continue project after graduation
- Potential opportunities to join company after graduation
Sonstige Vorteile
- Employee resource groups
- Pride Network Group
- Global Women's groups
- Local Women's groups
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nexperia Germany erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Nexperia Germany
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Master Student Software/Tool Development(m/w/x)
VollzeitWerkstudentnur vor OrtHamburg - Tenneco
Masterand im Bereich Data, AI & Analytic(m/w/x)
VollzeitPraktikumnur vor OrtGlinde - Fraunhofer-Gesellschaft
Masterarbeit im Bereich Data-Linkage-Systems für integrierte Gesundheits-, Geo- & Bevölkerungsdaten(m/w/x)
VollzeitPraktikumnur vor OrtHamburg
NENexperia Germany
Master Thesis Student - Data Modeling for Product Carbon Footprint in Semiconductor Manufacturing(m/w/x)
Hamburg
VollzeitPraktikumVor Ort
Green Job
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – fortgeschritten
- Deutsch – ist ein Plus
Tools & Technologien
- Python
- SQL
- SPARQL
- pandas
- RDF
Benefits
Attraktive Vergütung
- Attractive remuneration
Boni & Prämien
- Bonus for very good final thesis
Abwechslungsreiche Aufgaben
- Hands-on experience with real product-level industrial data
- Exposure to complex semiconductor manufacturing processes
- Experience working in a new and exploratory area
Startup-Atmosphäre
- Cross-team collaboration
Weiterbildungsangebote
- Development of strong analytical skills
- Development of problem-solving skills
- Development of stakeholder management skills
Sinnstiftende Arbeit
- Shaping how future work will proceed
Karriere- und Weiterentwicklung
- Potential opportunities to continue project after graduation
- Potential opportunities to join company after graduation
Sonstige Vorteile
- Employee resource groups
- Pride Network Group
- Global Women's groups
- Local Women's groups
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nexperia Germany erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Nexperia Germany
Branche
Manufacturing
Beschreibung
Nexperia is dedicated to inclusivity and diversity, aiming to enhance team performance and support various employee resource groups.
Noch nicht perfekt?
- Fraunhofer Institute for Digital Medicine MEVIS
Master's thesis Data-Linkage-Systems for Integrated Health, Geospatial and Population Data(m/w/x)
VollzeitPraktikumnur vor OrtHamburg - Nexperia Germany
Master Thesis Student – TCAD Simulation of Switching Behavior of BJTs(m/w/x)
VollzeitPraktikumnur vor OrtHamburg - Vibracoustic SE & Co. KG
Master Student Software/Tool Development(m/w/x)
VollzeitWerkstudentnur vor OrtHamburg - Tenneco
Masterand im Bereich Data, AI & Analytic(m/w/x)
VollzeitPraktikumnur vor OrtGlinde - Fraunhofer-Gesellschaft
Masterarbeit im Bereich Data-Linkage-Systems für integrierte Gesundheits-, Geo- & Bevölkerungsdaten(m/w/x)
VollzeitPraktikumnur vor OrtHamburg