Master Thesis – AI in MBSE

At FEV.io GmbH, our mission is to revolutionize the automotive industry landscape and make intelligent mobility a reality for everyone. Through cutting-dge technology and software we aim to create a safer, greener and more connected vehicleexperience for all.

We achieve this through our unparalleled, agile software engineering systems which deliver cuttingedge solutions to our clients including both forward-thinking automotive start-ups, aswell as the worlds largest and most established automotive OEM’s.

Agile and innovation are how we co about fulfillingour mission. Is this easy? Nope. In order to achievethis we have put together a team made some of theworlds brightness software minds. Backed by ourparent company -FEV, with 6,100 talentedpeople, we have both the know-how as well asexperience to deliver on our promise.

Joining us will be joining a team which looks to the future to create software which is one step ahead.

The master thesis will focus on applying, evaluating, and improving an existing MBSE Copilot solution within a real-world engineering context. The tasks are:

• Analyze Copilot capabilities for supporting MBSE workflows, including requirement handling and model generation
• Conduct a case study using representative MBSE artifacts (e.g., SysML models, requirement documents) to assess tool performance
• Perform user testing to evaluate usability, efficiency gains, and acceptance among engineers
• Investigate input quality and segmentation strategies for large-scale requirements (e.g., 600+ pages) to ensure meaningful Copilot output
• Benchmark Copilot performance against traditional manual MBSE processes to determine effectiveness and identify improvement areas
• Document findings and propose enhancements for better integration of AI copilots in MBSE lifecycles

Your profile

• Strong MBSE knowledge: Familiarity with model-based systems engineering principles and SysML (ideally SysML v2)
• AI/ML understanding: Basic concepts of artificial intelligence and machine learning, especially in engineering applications
• Analytical and evaluation skills: Ability to assess tool performance, identify improvement areas, and interpret user feedback
• Technical proficiency: Basic programming skills for data analysis and automation tasks
• Tool familiarity: Experience with MBSE tools such as Cameo or Capella is advantageous but not mandatory
• Communication and documentation: Ability to clearly document findings and present results to technical and non-technical stakeholders
• Research capability: Competence in conducting literature reviews and synthesizing insights from academic and industrial sources

nice to have:

• Experience with SysML v2
• Familiarity with MBSE tools (Cameo, Capella)
• Knowledge of Python or AI frameworks
• Prior experience in user studies or usability testing

WE offer ...

Cutting-edge

Here being cutting-edge and innovative is more than a cool way to describe ourselves. It’sreally what it’s like! You’ll be working with thebest of the best including leading AutomotiveOEM’s to create tomorrows software systemsand solutions.

Flexibility

Flexible might be nice for some -but for us it’s amust! We want you to be relaxed, creative andefficient at your work, so we give you a workmodel that supports this! Want to choose yourwork-times? Sure! Want to work remote? Sounds like a plan!

Agility

Product prototypes within 2 day sprints? Yup!Scrums and agile workflows andcommunication? Also! We pride ourselves inhaving an atmosphere of agility, openness, trustand innovation -and practice it daily!

The Bottom line

Our atmosphere, flexibility and agility are great, but we also want to make sure you pass your studies with ease, so we offer the following:

• up to 100% remote work
• flexible working hours for your work-life balance
• FEV Academy and LinkedIn Learning
• team events and parties
• modern lounges, electronically adjustable desks, flex desk, table football, Nintendo, coffee and tea