Master Thesis in Artificial Intelligence Organization Adoption and Usage

Airbus
Munich, Bavaria, GermanyPosted Sep 14, 2026

About the role

Job Description

In order to support our Quality department, Airbus Defence and Space is looking for a Master student (d/f/m) in the field of Artificial Intelligence, in Organization Adoption and Usage You are looking for a master thesis and want to get to know the work of Quality Digital engineer? Then apply now! We look forward to you supporting us in the Quality department as a master student (d/f/m)! Location: Taufkirchen/Ottobrunn Start: 01.11.2026 Duration: 6 months

Your location Our 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 benefits Attractive salary and work-life balance with a 35-hour week (flexitime). International environment with the opportunity to network globally. Work with modern/diversified technologies. At 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 meetings. Opportunity to participate in the Generation Airbus Community to expand your own network. Your tasks and responsibilities Assist in the conceptualization, scope alignment, and finalization of surveys targeted at both managers and operational staff. Coordinate and support the data collection process through short internal employee surveys. Participate in data processing and statistical analysis to evaluate AI usage patterns, workplace dynamics, and strategy-implementation gaps. Support the preparation of detailed result reports and deliverables for organizational decision-makers. Desired skills and qualifications Enrolled Master's student (d/f/m) with a background or interest in Management, Strategy Organizational Psychology, Data Analysis, or Statistics Strong analytical skills with experience in quantitative data analysis and statistical processing Ability to work collaborati

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