Master Thesis AI Assistant for Safety Requirements Engineering
Posted on July 14, 2025
Leonberg
Posted on July 14, 2025
About this role
Your tasks
- During your assignment you will develop a Generative AI-powered interface that allows users to query from requirement engineering tool chain data using natural language questions related to safety requirements and trace information.
- You will implement techniques to improve the accuracy and relevance of retrieved information, considering the context and semantics of the queries; design and implement a module that automatically generates comprehensive reports summarizing safety trace analysis and requirements compliance based on requirement tools chain data. To effectively communicate key findings and potential risks, you will explore different report formats and visualization techniques.
- Furthermore, you will develop a mechanism to automatically verify the consistency and completeness of safety traces between system documentation (e.g., requirements specifications, safety manuals) and the data captured within requirement tools chain Enterprise. You will also identify and flag potential discrepancies or gaps in traceability, alerting users to areas requiring further investigation.
- You will also take an active role in evaluating the performance of the Safety REQ AI Agent in terms of accuracy, efficiency, and user satisfaction through case studies and user feedback and in validating the agent's ability to improve the effectiveness of safety trace analysis and requirements review processes.
- Last but not least, you will design experiments for the agent that allows the comparison with manual process of using requirement tools chain. Aiming to improve the process by X% using the new AI agent (where X would be your expected improvement after some initial research).
Your profile
- Education: Master studies in the field of Computer Science, Software Engineering, Embedded Systems, Artificial Intelligence or comparable
- Experience and Knowledge: in Python; Anaconda; Generative AI (GenAI); Large Language Models (LLM); JSON; JavaScript; HTML; FastAPI; GitHub; Retrieval-Augmented Generation (RAG) and Transformer architectures
- Personality and Working Practice: you are a trustworthy and enthusiastic person with a meticulous way of working
- Languages: very good in English, German is a plus
Want more jobs like this?Get Research / Academic jobs in Leonberg delivered straight to your inbox.By signing up, you agree that we may process your information in accordance with our privacy policy.
More jobs from this employer
Similar jobs
PhD – Generative Models for Closed-loop Synthesis
Economist/ Applied Scientist - Assortment Risk Management (all genders)
Master Thesis LLM-based Co-pilot for the ECU Test Development
Internship in the Digitalization of Materials
Working Student in Software Development for Customer Support of Our IP Products – Internal Tools and Test Setups