PowerCo
Promotion Data Analysis & Simulation - LLM‑Supported Data Analysis for Battery Testing Data(m/w/x)
Full-timeWorking StudentOn-site
Salzgitter
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POPowerCo
.PhD Data Analysis & Simulation - LLM‑Supported Data Analysis Battery Testing Data(m/w/x)
Salzgitter
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Training LLM-based battery experts for engineering process integration. Initial hands-on LLM experience required. 35-hour week, 30 days vacation.
Requirements
- 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 applications
- Foundational understanding of data-analysis techniques and statistical evaluation methods
- Enthusiasm for working with large datasets
- High level of initiative, independence, and willingness to learn
- Structured work style and strong analytical thinking
- Excellent teamwork and communication skills in interdisciplinary and international environments
- Business-fluent English skills
- Strong interest in practical AI applications within battery-cell development
- German language skills are an advantage
- High level of creativity and pioneering spirit
- Hands-on mentality
- Doctorate
Tasks
- Train LLM-based battery expert
- Integrate LLM into engineering processes
- Evaluate LLM-generated analyses
- Detect hallucinations in LLM outputs
- Understand LLM decision-making
- Monitor LLM performance
- Control LLM actions
- Explore architectural patterns
- Adapt LLM using Knowledge Graphs
- Fine-tune LLM for specific tasks
- Develop adaptation methods
- Investigate RAG and agent-based approaches
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- Spark
- Large Language Models
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PowerCo 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.
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POPowerCo
.PhD Data Analysis & Simulation - LLM‑Supported Data Analysis Battery Testing Data(m/w/x)
Salzgitter
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Training LLM-based battery experts for engineering process integration. Initial hands-on LLM experience required. 35-hour week, 30 days vacation.
Requirements
- 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 applications
- Foundational understanding of data-analysis techniques and statistical evaluation methods
- Enthusiasm for working with large datasets
- High level of initiative, independence, and willingness to learn
- Structured work style and strong analytical thinking
- Excellent teamwork and communication skills in interdisciplinary and international environments
- Business-fluent English skills
- Strong interest in practical AI applications within battery-cell development
- German language skills are an advantage
- High level of creativity and pioneering spirit
- Hands-on mentality
- Doctorate
Tasks
- Train LLM-based battery expert
- Integrate LLM into engineering processes
- Evaluate LLM-generated analyses
- Detect hallucinations in LLM outputs
- Understand LLM decision-making
- Monitor LLM performance
- Control LLM actions
- Explore architectural patterns
- Adapt LLM using Knowledge Graphs
- Fine-tune LLM for specific tasks
- Develop adaptation methods
- Investigate RAG and agent-based approaches
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- Spark
- Large Language Models
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of PowerCo 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
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
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Praktikum Batteriestrategie(m/w/x)
Full-timeInternshipOn-siteSalzgitter