Job Description:
Master Thesis: AI Automation and Suitability Evaluation for Modelica Physical Models (d/f/m)
You are looking for a Master thesis and want to get to know the work of a System Engineer for Modelling and Simulation? Then apply now! We look forward to you supporting us in the Environmental Control Systems as a Master Student (d/f/m)!
- Location: Hamburg
- Start: As soon as possible
- Duration: 6 months
Your location
You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.
Your benefits
- Attractive salary and work-life balance with a 35-hour week (flexitime).
- Mobile working after agreement with the department.
- 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
Airbus is investigating methods to combine classical systems engineering with modern Artificial Intelligence (AI) to automate, accelerate, and safeguard aircraft physical modeling and simulation workflows.
Within the scope of the master thesis, you will evaluate the broad feasibility, accuracy, and engineering suitability of local open-weights Large Language Models (LLMs) and cloud-based enterprise solutions (such as GCP Gemini) against physics-based Modelica architectures. Integrating your work directly within the python toolset, you will develop an AI-driven application interfaced with Dymola environment to execute, heal, and validate automated model generation, interface modifications, and regression test synthesis.
- Literature research and familiarization with AI-augmented systems engineering, multi-agent prompt engineering, and Modelica structural principles.
- Evaluation and benchmarking of chosen local LLMs versus enterprise cloud models regarding syntax correctness and physical accuracy.
- Feasibility analysis of using single-prompt techniques versus multi-agent loop architectures to resolve compiler discrepancies.
- Implementation of a small, modular AI pipeline application integrated as workflow handlers inside the existing automation framework.
- Verification of the AI toolkit across three core engineering test cases: Model Generation (text-to-code), Model Modification (interface migration), and Automated Regression Test Generation.
- Assessment of legal and operational boundaries, including human-in-the-loop validation principles and alignment with the EU AI Act.
- Documentation and final thesis compilation.
Desired skills and qualifications
- Enrolled full-time student (d/f/m) within Computational Engineering, Computer Science, Mechanical Engineering, Aerospace, or a similar technical field of study.
- Strong software engineering skills with high proficiency in Python (experience with C++ or Java is an asset).
- Knowledge of or strong applied interest in Large Language Models, prompt engineering, and multi-agent software patterns.
- Basic understanding or academic exposure to physical system simulation and modeling environments (such as Dymola/Modelica or Simulink).
- Familiarity with or interest in containerization tools (Docker) and structural software architecture.
- English: Fluent.
Please upload the following documents: cover letter, CV, relevant transcripts, enrolment 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 Operations GmbH
Employment Type:
Final-year Thesis
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Experience Level:
Student
Job Family:
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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.
