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Master Thesis – SysML v2 for Early-Phase Engineering of Robotic Production Systems(m/w/x)
Description
In this master's thesis role, you will explore how SysML v2 can enhance the design of robotic production systems, making it accessible for robotics experts. Your work will involve comparing SysML versions, developing modeling approaches, and validating findings with industry experts.
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Requirements
- •Enrollment 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)
- •Interest in learning and applying SysML v2
- •Analytical and conceptual thinking skills
- •Self-driven, methodical, and open to interdisciplinary collaboration
- •Strong English and German communication skills
- •Awareness of compliance risks and commitment to integrity
Education
Tasks
- •Support the Robotics department as a Master's student
- •Conduct an in-depth study on SysML v2 for modeling production systems
- •Compare SysML v1 and SysML v2 for robotic production systems
- •Derive concepts from SysML v1 models for representation in SysML v2
- •Develop a modeling approach for domain experts to use SysML v2
- •Integrate robotics-specific extensions into the SysML v2 metamodel
- •Validate the approach through expert interviews and application studies
- •Provide modeling guidelines and best practices for SysML v2 usage
Tools & Technologies
Languages
English – Business Fluent
German – Business Fluent
Benefits
Flexible Working
- •Work-life balance with 35-hour week
- •Flexible working arrangements
Informal Culture
- •International environment
Career Advancement
- •Opportunity to network globally
Social Impact
- •Participation in Generation Airbus Community
- Airbus Operations GmbHFull-timeInternshipOn-sitefrom 750 / monthHamburg
- Airbus Operations GmbH
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Master Thesis – SysML v2 for Early-Phase Engineering of Robotic Production Systems(m/w/x)
The AI Job Search Engine
Description
In this master's thesis role, you will explore how SysML v2 can enhance the design of robotic production systems, making it accessible for robotics experts. Your work will involve comparing SysML versions, developing modeling approaches, and validating findings with industry experts.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment 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)
- •Interest in learning and applying SysML v2
- •Analytical and conceptual thinking skills
- •Self-driven, methodical, and open to interdisciplinary collaboration
- •Strong English and German communication skills
- •Awareness of compliance risks and commitment to integrity
Education
Tasks
- •Support the Robotics department as a Master's student
- •Conduct an in-depth study on SysML v2 for modeling production systems
- •Compare SysML v1 and SysML v2 for robotic production systems
- •Derive concepts from SysML v1 models for representation in SysML v2
- •Develop a modeling approach for domain experts to use SysML v2
- •Integrate robotics-specific extensions into the SysML v2 metamodel
- •Validate the approach through expert interviews and application studies
- •Provide modeling guidelines and best practices for SysML v2 usage
Tools & Technologies
Languages
English – Business Fluent
German – Business Fluent
Benefits
Flexible Working
- •Work-life balance with 35-hour week
- •Flexible working arrangements
Informal Culture
- •International environment
Career Advancement
- •Opportunity to network globally
Social Impact
- •Participation in Generation Airbus Community
About the Company
Airbus Operations GmbH
Industry
Aerospace
Description
Das Unternehmen setzt sich für Vielfalt und ein inklusives Arbeitsumfeld ein.
- Airbus Operations GmbH
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