Your tasks
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
Your profile
* 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
WE offer ...
Cutting-edge
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
* Spendit Card - cashless benefit
* team events and parties
* modern lounges, electronically adjustable desks, flex desk, table football, Nintendo, coffee and tea
* FEV canteen or canteen discounts*
* Not at all locations
Personal contact
Alina Lara Senn
Human Resources - Aachen
Phone +49 241 56892924
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