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.Master Thesis - AI Agent for Test Management Based on Regulatory Frameworks and User Requirements - A Case Study on Battery Testing(m/w/x)
Designing an AI agent for test management using LLMs, translating regulatory documents into machine-readable rules. Python programming skills required. Up to 100% remote work, flexible hours.
Requirements
- Solid programming skills, preferably Python
- Experience with C++/Java is a plus
- Basic machine learning/AI knowledge
- Experience with large language models, information retrieval, or recommender systems
- Basic software engineering concepts (APIs, data models, version control, testing)
- Basic cloud development knowledge (Azure preferred)
- Interest in battery systems and testing
- Basic knowledge about battery systems and testing
- Analytical skills for translating requirements
- Ability to work independently
- Ability to structure complex problems
- Ability to document results in scientific English
- Interest in battery systems and testing
- Basic knowledge about battery systems and testing
- German skill >B1
- German skill >B1
Tasks
- Conduct literature and state-of-the-art review on AI-based assistants, test scheduling, and regulatory frameworks
- Analyze regulatory documents, testing standards, and project-specific user requirements
- Translate regulatory documents and user requirements into machine-readable rules and constraints
- Design system architecture for AI chat-bot as natural-language front end for test scheduler
- Implement AI agent using large language models (LLMs) with interfaces to data sources
- Develop algorithms for test recommendation and automatic scheduling under various conditions
- Compare AI-based results with conventional optimization-based scheduler
- Define quantitative evaluation criteria for AI-based test management
- Run case study on battery testing for technical feasibility assessment
- Document results scientifically and prepare Master thesis and internal presentation
Education
- Currently in higher education
Languages
- English – Native
- German – Business Fluent
Tools & Technologies
- Python
- C++
- Java
- Azure
- APIs
- data models
- version control
- large language models
- information retrieval
- recommender systems
Benefits
More Vacation Days
- Brückentage
Flexible Working
- Up to 100% remote work
- Flexible working hours
- Flex desk
Learning & Development
- FEV Academy
- LinkedIn Learning
Team Events
- Team events and parties
Modern Office
- Modern lounges
Ergonomic Workplace
- Electronically adjustable desks
Startup Environment
- Kicker
Other Benefits
- Nintendo
Snacks & Drinks
- Coffee and tea
Free or Subsidized Food
- FEV canteen or canteen discounts
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.Master Thesis - AI Agent for Test Management Based on Regulatory Frameworks and User Requirements - A Case Study on Battery Testing(m/w/x)
Designing an AI agent for test management using LLMs, translating regulatory documents into machine-readable rules. Python programming skills required. Up to 100% remote work, flexible hours.
Requirements
- Solid programming skills, preferably Python
- Experience with C++/Java is a plus
- Basic machine learning/AI knowledge
- Experience with large language models, information retrieval, or recommender systems
- Basic software engineering concepts (APIs, data models, version control, testing)
- Basic cloud development knowledge (Azure preferred)
- Interest in battery systems and testing
- Basic knowledge about battery systems and testing
- Analytical skills for translating requirements
- Ability to work independently
- Ability to structure complex problems
- Ability to document results in scientific English
- Interest in battery systems and testing
- Basic knowledge about battery systems and testing
- German skill >B1
- German skill >B1
Tasks
- Conduct literature and state-of-the-art review on AI-based assistants, test scheduling, and regulatory frameworks
- Analyze regulatory documents, testing standards, and project-specific user requirements
- Translate regulatory documents and user requirements into machine-readable rules and constraints
- Design system architecture for AI chat-bot as natural-language front end for test scheduler
- Implement AI agent using large language models (LLMs) with interfaces to data sources
- Develop algorithms for test recommendation and automatic scheduling under various conditions
- Compare AI-based results with conventional optimization-based scheduler
- Define quantitative evaluation criteria for AI-based test management
- Run case study on battery testing for technical feasibility assessment
- Document results scientifically and prepare Master thesis and internal presentation
Education
- Currently in higher education
Languages
- English – Native
- German – Business Fluent
Tools & Technologies
- Python
- C++
- Java
- Azure
- APIs
- data models
- version control
- large language models
- information retrieval
- recommender systems
Benefits
More Vacation Days
- Brückentage
Flexible Working
- Up to 100% remote work
- Flexible working hours
- Flex desk
Learning & Development
- FEV Academy
- LinkedIn Learning
Team Events
- Team events and parties
Modern Office
- Modern lounges
Ergonomic Workplace
- Electronically adjustable desks
Startup Environment
- Kicker
Other Benefits
- Nintendo
Snacks & Drinks
- Coffee and tea
Free or Subsidized Food
- FEV canteen or canteen discounts
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
FEV.io GmbH
Industry
Automotive
Description
Das Unternehmen hat es sich zur Aufgabe gemacht, die Automobilbranche zu revolutionieren und intelligente Mobilität für jedermann Realität werden zu lassen.
Not a perfect match?
- FEV.io GmbH
Master Thesis - AI Agent for Test Management Based on Regulatory Frameworks and User Requirements - A Case Study on Battery Testing(m/w/x)
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