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Master Thesis - AI Agent for Test Management
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Arbeitsmodell
Master Thesis - AI Agent for Test Management
Standort:
- Aachen EVA Fahrzeugtechnik Jetzt bewerben
Zusammenfassung
- Arbeitszeit: Vollzeit
- Typ: Festanstellung
Gewünschte Fähigkeiten & Kenntnisse
Machine Learning Framework Cloud C++ Make Solid Java MOST Natural SQL Azure Software-Engineering Edge Compliance Programmiererfahrung START Testdurchführung Python Support LinkedIn Frontend Testplanung Engineering Flexibilität
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Stellenbeschreibung
FEV.io GmbH
You want to develop mobility for the future and for everyone. You want to redefine the boundaries of technology and think outside the box. You want to fully develop and enter the next level. Then you don't have to look any further! We are a young, dynamic division of the FEV company. We are looking for people like YOU!, At FEV.io GmbH, our mission is to revolutionize the automotive industry landscape and make intelligent mobility a reality for everyone. Through cutting-dge technology and software we aim to create a safer, greener and more connected vehicle experience for all.
We achieve this through our unparalleled, agile software engineering systems which deliver cutting edge solutions to our clients including both forwardthinking automotive start-ups, aswell as the worlds largest and most establishedautomotive OEM's.
Agile and innovation are how we co about fulfilling our mission. Is this easy? Nope. In order to achieve this we have put together a team made some of the worlds brightness software minds. Backed by our parent company -FEV, with 6,100 talented people, we have both the know-how as well as experience to deliver on our promise.
Joining us will be joining a team which looks to the future to create software which is one step ahead.
Ihre Aufgaben
Intelligent test management is essential for increasing efficiency, transparency, and regulatory compliance in modern battery testing environments. In this thesis, a conversational AI agent will be developed as a front end to an prototype test management and scheduling framework. The agent will support engineers in defining, optimizing, and evaluating test campaigns by combining static information (e.g. regulations, testing standards, use-case descriptions) with dynamic information (e.g. bench availability, model availability, current test load).
- Conducting a literature and state-of-the-art review on AI-based assistants, test scheduling, and regulatory frameworks with or without focus for battery testing
- Analysing relevant regulatory documents, testing standards, and project-specific user requirements, and translating them into machine-readable rules and constraints for test planning
- Designing the system architecture of an AI chat-bot that acts as a natural-language front end for a test scheduler
- Implementing the AI agent with preference of using large language models (LLMs) including interfaces to data sources such as test bench calendars, model repositories, and requirement databases
- Developing algorithms or workflows for test recommendation and automatic scheduling under static and dynamic boundary conditions (standards, priorities, availability, cost or time constraints)
- Comparing the AI-based results with a baseline conventional optimisation-based scheduler and defining quantitative evaluation criteria (e.g. utilisation, waiting time, deadline adherence, compliance with constraints)
- Running a case study on battery testing for technical feasibility assessment for the desired purposes
- Documenting the results in a scientific manner and preparing the Master thesis and an internal presentation
Ihr Profil
- Solid programming skills, preferably in Python (experience with other languages such as C++/Java is a plus)
- Basic knowledge of machine learning / AI, ideally including experience with large language models, information retrieval, or recommender systems
- Basic understanding of software engineering concepts (APIs, data models, version control, testing) and cloud development (Azure preferred)
- Interest in or basic knowledge about battery systems and testing
- Analytical skills to translate regulatory and user requirements into formal constraints
- Ability to work independently, structure complex problems, and document results in scientific English
nice to have:
- Interest in or basic knowledge about battery systems and testing.
- German skill >B1
Wir bieten Ihnen
Here being cutting-edge and innovative is more than a cool way to describe ourselves. It's really what it's like! You'll be working with the best of the best including leading Automotive OEM's to create tomorrows software systems and solutions.
Flexibility Flexible might be nice for some -but for us it's a must! We want you to be relaxed, creative and efficient at your work, so we give you a work model that supports this! Want to choose your work-times? Sure! Want to work remote? Sounds like a plan!
Agility Product prototypes within 2 day sprints? Yup! Scrums and agile workflows and communication? Also! We pride ourselves in having an atmosphere of agility, openness, trust and innovation -and practice it daily!
The Bottom line Our atmosphere, flexibility and agility are great, but we also want to make sure you pass your studies with ease, so we offer the following:
- bridge days
- up to 100% remote work
- flexible working hours for your work-life balance
- FEV Academy and LinkedIn Learning
- team events and parties
- modern lounges, electronically adjustable desks, flex desk, table football, Nintendo, coffee and tea
- FEV canteen or canteen discounts*
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Profil
Fachliche Voraussetzung
- APIs, Ablaufplanung, Algorithmus, Anforderungsspezifikationen, Batteriespeichersysteme, C++, Cloud-Engineering, Compliance, Data Analysis, Datenbanken, Datenmodelierung, Demonstrations-Fähigkeiten, Grenzwert, Information Retrieval, Java, Künstliche Intelligenz, Large Language Models, Machine Learning, Microsoft Azure, Prototyping, Python, Recommendersysteme, Regulatorischen Anforderungen, Software Version Control, Softwareentwicklung, Systemarchitektur, Technische Normen, Test Management, Testauswertung, Testbed, Testen, Testpläne, Virtuelle Agenten, Workflows
Persönliche Fähigkeiten
- Analytisches Denken, Eigenmotivation
Sprachkenntnisse
- Deutsch, Englisch Mehr anzeigen Weniger anzeigen
Bewerbung
Jetzt bewerben
Branche:
Industrie / Technik
Arbeitgeber:
EVA Fahrzeugtechnik
Adresse:
EVA Fahrzeugtechnik Heidemannstr 41a 80939 Munchen
Web:
http://evafahrzeugtechnik.de