**Job Description:**You are looking for a master thesis and want to get to know the work of a system engineer? Then apply now! We look forward to you supporting us at Navigation Solutions as a Masterand (d/f/m)!Location: OttobrunnStart: Marchor earlier)Duration: 6 monthsThe primary objectives of this thesis are to develop a theoretical framework and a multi-agent workflow for refactoring textual systems engineering specifications. This involves defining specialized agent roles, implementing a prototype using Python and NLP techniques, and demonstrating the system's ability to enhance requirement clarity, ensure traceability, derive functional breakdowns, and reorganize specifications accordingly.Your locationOur site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.Your benefitsAttractive salary and work-life balance with an 35-hour week (flexitime)International environment with the opportunity to network globallyWork with modern/diversified technologiesAt Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetingsOpportunity to participate in the Generation Airbus Community to expand your own networkYour tasks and responsibilitiesThe thesis tasks include conducting a comprehensive literature review on AI-assisted requirements engineering, refactoring, and multi-agent systemsAdditionally, the tasks involve defining a conceptual framework and methodological approach, designing an agent-based architecture for requirement analysis and restructuring, implementing a prototype workflow using Python with Open Web UI as front end, validating the approach on realistic textual specifications, and documenting the results in a Master thesis report with recommendations for future researchThe deliverables for this thesis include a written Master thesis in English, a prototype implementation demonstrating the feasibility of the workflow, supporting material such as diagrams, workflows, and test cases, documentation of the results, and recommendations for future researchDesired skills and qualificationsMaster student in Systems Engineering, Computer Science, AI, or a related field (d/f/m)Strong interest in requirements engineering and model-based systems engineering (MBSE)Knowledge in Natural Language Processing (NLP) and Large Language Models (LLMs), familiarity with multi-agent systems or a willingness to learn, skills in PythonAbility to work independently, think critically, and structure academic researchFluent in English and good German skillsPlease upload the following documents: *cover letter, CV, relevant transcripts, enrollment certificate*.Not a 100% match? No worries! Airbus supports your personal growth.Take your career to a new level and apply online now!This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.Company:****Airbus Defence and Space GmbHEmployment Type:*Final-year ThesisExperience Level:*StudentJob Family:*By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.