Master Thesis (d / f / m) - SysML v2 for Early-Phase Engineeringof Robotic Production Systems

Airbus Operations GmbH; Hamburg; Vor Ort; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A leading aerospace company in Hamburg is seeking a Master's student for a thesis on SysML v2 applied to robotic production systems. The role involves tasks such as comparing SysML versions and developing modeling guidelines suitable for robotics experts. The ideal candidate should be enrolled in a relevant Master's program and possess strong analytical skills. The position offers a unique opportunity to contribute to innovative engineering solutions while enjoying flexible working arrangements.

Leistungen

Work-life balance with a 35-hour week

International environment

Work with modern technologies

Participation in Generation Airbus Community

Qualifikationen

• Currently enrolled in a Master’s degree program in Systems Engineering, Mechatronics, Robotics, or related field.
• Basic knowledge and interest in learning SysML v2.
• Self-driven, methodical, and open to interdisciplinary collaboration.

Aufgaben

• Conduct a systematic comparison of SysML v1 and SysML v2.
• Develop a modeling approach for robotics experts.
• Validate proposed approaches through interviews and studies.

Kenntnisse

Analytical thinking

Conceptual thinking

Solid understanding of systems engineering principles

Basic knowledge of SysML v1

Interest in model-based development

Strong English and German communication skills

Ausbildung

Master’s degree in Systems Engineering or related field

Tools

Modeling tools (e.g., Cameo, MagicDraw, Capella)

Jobbeschreibung

Job Description

Airbus Operations is looking for a

Master Thesis (d / f / m) - SysML v2 for Early-Phase Engineering of Robotic Production Systems

You are looking for a master thesis thesis? Then apply now! We look forward to you supporting us as a Masterand (d / f / m)!

• Location : Hamburg - Finkenwerder
• Start : 01.03.26
• Duration : 6 months

Are you passionate about Model-Based Systems Engineering (MBSE) and the next generation of modeling languages?

Join our Robotics department and contribute to shaping how future production and robotic systems are designed using SysML v2.

We are seeking a highly motivated and skilled Master’s student to conduct an in-depth study on how SysML v2 can be leveraged to model complex production and robotic systems.

This thesis aims to bridge the gap between domain engineering and systems modeling, making SysML v2 approachable for robotics experts without deep MBSE experience.

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

• 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

• Conduct a systematic comparison of SysML v1 and SysML v2, focusing on their capability to describe robotic production systems.
• Derive transferable concepts from existing SysML v1 models and define how they can be represented in SysML v2.
• Develop a conceptual modeling approach that allows domain experts (e.g., robotics engineers) to describe production systems in SysML v2 without deep MBSE expertise.
• Integrate domain-specific extensions for robotics (e.g., robot capabilities, workspaces, control behavior) into the SysML v2 metamodel or profile.
• Validate the proposed approach through expert interviews and application studies using example scenarios or reference systems.
• Provide a set of modeling guidelines and best practices to support future usage of SysML v2 in early-phase engineering of robotic systems.

Desired skills and qualifications

• Currently enrolled in a Master’s degree program in Systems Engineering, Mechatronics, Robotics, Computer Science, or a related field.
• Solid understanding of systems engineering principles and interest in model-based development.
• Basic knowledge of SysML v1 and experience with modeling tools (e.g., Cameo, MagicDraw, Capella) is beneficial.
• Interest in learning and applying SysML v2 (basic familiarity is an advantage).
• Analytical and conceptual thinking skills, with the ability to structure complex systems in an understandable way.
• Self-driven, methodical, and open to interdisciplinary collaboration between systems engineering and robotics.
• Strong English and German communication skills.

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!

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

Experience Level : Student

Job Family : Support to Management

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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 [e-mail] .

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.