Master Thesis - AI in MBSE

Standort:

• Stuttgart

FEV GmbH

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Zusammenfassung

• Arbeitszeit: Vollzeit
• Typ: Festanstellung

Gewünschte Fähigkeiten & Kenntnisse

• Machine Learning
• Systems Engineering
• Software-Engineering
• Edge
• Programmiererfahrung
• START
• Industrial
• Python
• Make
• HR-Bereich
• MOST
• Data-Analysis
• LinkedIn
• Engineering
• Flexibilität

Unsere Leistungen

• Homeoffice
• Mitarbeiter-Events

Stellenbeschreibung

FEV.io GmbH

You want to develop mobility for the future and for everyone. You want to redefine the boundaries of technology and think outside the box. You want to fully develop and enter the next level. Then you don't have to look any further! We are a young, dynamic division of the FEV company. We are looking for people like YOU! At FEV.io GmbH, our mission is to revolutionize the automotive industry landscape and make intelligent mobility a reality for everyone. Through cutting-edge technology and software we aim to create a safer, greener and more connected vehicle experience for all.

We achieve this through our unparalleled, agile software engineering systems which deliver cutting edge solutions to our clients including both forward-thinking automotive start-ups, as well as the world's largest and most established automotive OEM's.

Agile and innovation are how we go about fulfilling our mission. Is this easy? Nope. In order to achieve this we have put together a team made some of the world's brightest software minds. Backed by our parent company - FEV, with 6,100 talented people, we have both the know-how as well as experience 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.

Ihre Aufgaben

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

Ihr Profil

• 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

Wir bieten Ihnen

Here being cutting-edge and innovative is more than a cool way to describe ourselves. It's really what it's like! You'll be working with the best of the best including leading Automotive OEM's to create tomorrow's software systems and solutions.

Flexibility

Flexible might be nice for some - but for us it's a must! We want you to be relaxed, creative and efficient at your work, so we give you a work model that supports this! Want to choose your work-times? Sure! Want to work remote? Sounds like a plan!

Agility

Product prototypes within 2 day sprints? Yup! Scrums and agile workflows and communication? Also! We pride ourselves in having an atmosphere of agility, openness, trust and 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:

• bridge days
• up to 100% remote work
• flexible working hours for your work-life balance
• FEV Academy and LinkedIn Learning
• Spendit Card - cashless benefit
• team events and parties
• modern lounges, electronically adjustable desks, flex desk, table football, Nintendo, coffee and tea
• FEV canteen or canteen discounts*

Kontakt

Alina Lara Senn Human Resources - Aachen

Phone +49 241 56892924

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Profil

Fachliche Voraussetzung

• Automatisierung, Benutzermodellierung, Data Analysis, Forschung, Künstliche Intelligenz, Literatur-Rezensionen, MBSE, Machine Learning, Python, Systems Engineering, Systems Modeling Language, Usability Testing, User Feedback, Workflows

Persönliche Fähigkeiten

• Analytisches Denken, Kommunikation

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Bewerbung

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Branche:

Andere / Unbekannt

Arbeitgeber:

FEV GmbH

Adresse:

FEV GmbH Neuenhofstr 181 52078 Aachen

Web:

http://fev.com