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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)
Description
In this role, you will develop a conversational AI agent to revolutionize battery test management. You'll bridge the gap between complex regulations and automated scheduling to drive efficiency.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Solid programming skills, preferably in Python
- •Basic knowledge of machine learning
- •Understanding of software engineering and cloud
- •Interest or knowledge in battery systems
- •Analytical skills for requirement translation
- •Independent work and scientific English documentation
- •German language skills above B1 level
Education
Tasks
- •Review literature on AI assistants and regulatory frameworks
- •Translate regulatory documents into machine-readable rules
- •Design the system architecture for an AI chatbot
- •Implement an LLM-based agent with data interfaces
- •Develop algorithms for automatic test scheduling
- •Compare AI results against conventional optimization schedulers
- •Define quantitative evaluation criteria for system performance
- •Conduct a battery testing case study for feasibility
- •Document scientific results and prepare the Master thesis
- •Deliver an internal presentation of your findings
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
More Vacation Days
- •Brückentage
Flexible Working
- •Bis zu 100% remote work
- •Flexible Arbeitszeiten
- •Flex Desk
Learning & Development
- •FEV Academy
- •LinkedIn Learning
Additional Allowances
- •Spendit Card
Team Events
- •Team-Events und Partys
- •Kicker und Nintendo
Modern Office
- •Moderne Lounges
Ergonomic Workplace
- •Elektronisch verstellbare Schreibtische
Snacks & Drinks
- •Kaffee und Tee
Corporate Discounts
- •FEV-Kantine oder Kantinenrabatte
- FEV.io GmbHFull-timeWith HomeofficeNot specifiedAachen
- FEV.io GmbH
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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)
The AI Job Search Engine
Description
In this role, you will develop a conversational AI agent to revolutionize battery test management. You'll bridge the gap between complex regulations and automated scheduling to drive efficiency.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Solid programming skills, preferably in Python
- •Basic knowledge of machine learning
- •Understanding of software engineering and cloud
- •Interest or knowledge in battery systems
- •Analytical skills for requirement translation
- •Independent work and scientific English documentation
- •German language skills above B1 level
Education
Tasks
- •Review literature on AI assistants and regulatory frameworks
- •Translate regulatory documents into machine-readable rules
- •Design the system architecture for an AI chatbot
- •Implement an LLM-based agent with data interfaces
- •Develop algorithms for automatic test scheduling
- •Compare AI results against conventional optimization schedulers
- •Define quantitative evaluation criteria for system performance
- •Conduct a battery testing case study for feasibility
- •Document scientific results and prepare the Master thesis
- •Deliver an internal presentation of your findings
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
More Vacation Days
- •Brückentage
Flexible Working
- •Bis zu 100% remote work
- •Flexible Arbeitszeiten
- •Flex Desk
Learning & Development
- •FEV Academy
- •LinkedIn Learning
Additional Allowances
- •Spendit Card
Team Events
- •Team-Events und Partys
- •Kicker und Nintendo
Modern Office
- •Moderne Lounges
Ergonomic Workplace
- •Elektronisch verstellbare Schreibtische
Snacks & Drinks
- •Kaffee und Tee
Corporate Discounts
- •FEV-Kantine oder Kantinenrabatte
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.
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