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PhD Data Analysis & Simulation - LLM‑Supported Data Analysis for Battery Testing Data(m/w/x)
LLM integration and training for battery expert systems, making knowledge accessible to development engineers at a global battery cell production HQ. Initial hands-on LLM experience and strong Python/SQL/Spark knowledge required. 35-hour week, 30 days vacation, plus 24.12. & 31.12. off.
Requirements
- Completed university degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Chemistry, Physics, or comparable field
- Strong knowledge of Python, SQL, Spark, or similar technologies
- Initial hands-on experience with Large Language Models and their applications
- Foundational understanding of data-analysis techniques and statistical evaluation methods
- Enthusiasm for working with large datasets
- High initiative, independence, and willingness to learn
- Structured work style and strong analytical thinking
- Excellent teamwork and communication skills
- Business-fluent English skills
- Strong interest in practical AI applications
- German language skills (advantageous)
- High creativity and pioneering spirit
- Hands-on mentality
Tasks
- Investigate efficient LLM integration in engineering
- Train an LLM-based battery expert
- Make LLM knowledge accessible to battery development engineers
- Evaluate LLM architectural and adaptation patterns
- Assess the quality of LLM-generated analyses
- Develop hallucination detection methods for LLM analyses
- Understand LLM decision-making processes
- Monitor LLM decision-making
- Control LLM decision-making
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- Spark
- Large Language Models
- AI
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 days paid vacation
- 24.12. & 31.12. off
Learning & Development
- Interdisciplinary qualification opportunities
- Scientific exchange opportunities
Mentorship & Coaching
- Regular feedback meetings
Other Benefits
- Close technical supervision
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PhD Data Analysis & Simulation - LLM‑Supported Data Analysis for Battery Testing Data(m/w/x)
LLM integration and training for battery expert systems, making knowledge accessible to development engineers at a global battery cell production HQ. Initial hands-on LLM experience and strong Python/SQL/Spark knowledge required. 35-hour week, 30 days vacation, plus 24.12. & 31.12. off.
Requirements
- Completed university degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Chemistry, Physics, or comparable field
- Strong knowledge of Python, SQL, Spark, or similar technologies
- Initial hands-on experience with Large Language Models and their applications
- Foundational understanding of data-analysis techniques and statistical evaluation methods
- Enthusiasm for working with large datasets
- High initiative, independence, and willingness to learn
- Structured work style and strong analytical thinking
- Excellent teamwork and communication skills
- Business-fluent English skills
- Strong interest in practical AI applications
- German language skills (advantageous)
- High creativity and pioneering spirit
- Hands-on mentality
Tasks
- Investigate efficient LLM integration in engineering
- Train an LLM-based battery expert
- Make LLM knowledge accessible to battery development engineers
- Evaluate LLM architectural and adaptation patterns
- Assess the quality of LLM-generated analyses
- Develop hallucination detection methods for LLM analyses
- Understand LLM decision-making processes
- Monitor LLM decision-making
- Control LLM decision-making
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- Spark
- Large Language Models
- AI
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 30 days paid vacation
- 24.12. & 31.12. off
Learning & Development
- Interdisciplinary qualification opportunities
- Scientific exchange opportunities
Mentorship & Coaching
- Regular feedback meetings
Other Benefits
- Close technical supervision
About the Company
PowerCo
Industry
Manufacturing
Description
Das Unternehmen hat 2022 gegründet, um ein globaler Batteriechampion zu werden und betreibt Gigafabriken in Salzgitter, Valencia und St. Thomas in Kanada.
Not a perfect match?
- PowerCo
Promotion Data Analysis & Simulation - LLM‑Supported Data Analysis for Battery Testing Data(m/w/x)
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