Master Student AI Powered Compliance Assistant (d/f/m)

Job Description:

Airbus Defence and Space is looking for a


Master Student AI Powered Compliance Assistant (d/f/m)

You are looking for a master thesis and want to get to know the work of an AI Powered Compliance Assistant with RAG Application (d/m/w)?

Then apply now! We look forward to you supporting us in the Operational PRC as a Master student (d/f/m)!

Location: Friedrichshafen
Start: 01.08.2026
Duration: 6 months

Your location
At the Airbus site in Friedrichshafen you will be working on innovation where others spend their holidays. Enjoy panoramic views of Lake Constance while having lunch in our canteen. And after work, join one of our many corporate sports groups to go running, sailing or skiing.

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

• Are you passionate about AI, automation, and real-world impact? Join Airbus Defence and Space in Friedrichshafen, Germany, and work on a cutting-edge project that uses Retrieval-Augmented Generation (RAG) to automate regulatory compliance for Aerospace, Defence, and AI systems.
  
• We are developing a smart assistant that reads complex regulations (like the EU AI Act, aviation safety rules, or cybersecurity standards), understands your product, and automatically generates a Compliance Management Plan, with full traceability and citations.
  
• We’re looking for a Master’s student (6-month thesis) to help us build and test this RAG-based system. You’ll work hands-on with modern AI tools, cloud platforms, and real compliance data, and turn your thesis into a working prototype that could shape the future of safe, certified technology.
  

Desired skills and qualifications

• Enrolled full-time student in the area of Computer Science, artificial intelligence or an equivalent field of study.
  
• Strong Python programming skills (this is key)
  
• Interest or experience in AI, NLP, or machine learning
  
• Basic understanding of web APIs, C++, cloud platforms (like AWS, Azure, or GCP), and data pipelines
  
• Comfort working with command line, Git, Docker, and Linux
  
• Ability to read and understand technical or legal English texts
  
• Independent working style and problem-solving mindset
  

Please 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!

f0682a678faf
#MYCYM

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 GmbH

Employment Type:
Final-year Thesis
-------

Experience Level:
Student

Job Family:
Support to Management

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 emsom@airbus.com .

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.