Master Thesis AI Assistant for Safety Requirements Engineering

Robert Bosch Group; Leonberg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

The Robert Bosch GmbH invites applications for a Master Thesis in AI, focusing on developing a Generative AI interface for safety requirements engineering. The role entails creating modules for report generation, analyzing safety traces, and enhancing user satisfaction through case studies. This opportunity offers hands-on experience in cutting-edge technology with a focus on safety compliance and documentation.

Qualifikationen

• Candidate must be enrolled at university.
• Trustworthy and enthusiastic personality required.
• Very good English; German is a plus.

Aufgaben

• Develop an AI-powered interface for requirement engineering tool.
• Design and implement modules for reports and trace analysis.
• Evaluate performance based on user feedback.

Kenntnisse

AI Techniques

Natural Language Processing

Data Analysis

Report Generation

Ausbildung

Master studies in Computer Science

Software Engineering

Artificial Intelligence

Embedded Systems

Jobbeschreibung

Master Thesis AI Assistant for Safety Requirements Engineering

• Full-time

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, enjoy our work, and inspire each other.

The Robert Bosch GmbH is looking forward to your application!

• During your assignment, you will develop a Generative AI-powered interface that allows users to query 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. You will also design and implement a module that automatically generates comprehensive reports summarizing safety trace analysis and requirements compliance based on requirement tool 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 identify and flag potential discrepancies or gaps in traceability, alerting users to areas requiring further investigation.
• You will also evaluate the performance of the Safety REQ AI Agent in terms of accuracy, efficiency, and user satisfaction through case studies and user feedback. Additionally, you will validate the agent's ability to improve the effectiveness of safety trace analysis and requirements review processes.
• Lastly, you will design experiments to compare the AI agent with manual processes using requirement tool chains, aiming to improve the process by X% based on initial research and testing.
• Education: Master studies in Computer Science, Software Engineering, Embedded Systems, Artificial Intelligence, or a comparable field.
• Personality and Working Practice: Trustworthy, enthusiastic, with a meticulous working style.
• Languages: Very good in English; German is a plus.

Start: According to prior agreement

Duration: 6 months

Requirement for this thesis is enrollment at university. Please attach your CV, transcript of records, examination regulations, and if applicable, a valid work and residence permit.

Diversity and inclusion are integral to our culture. We welcome applications regardless of gender, age, disability, religion, ethnicity, or sexual identity.

Need further information about the job?
Dr. Asim Abdulkhaleq (Functional Department)
[phone]