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Orthopädische Gelenk-Klinik Freiburg
salary2.850 € - 3.800 € pro Monat
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Schwarzwald-JOBS.de
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locationAlte Bundesstraße, 79194 Gundelfingen, Deutschland
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SCHÖNHEITSFARM GERTRAUD GRUBER GmbH
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Expressbewerbung
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Oberland-JOBS.de
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Alexander Ronge Installation- und Heizungsbau
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Lanserhof Tegernsee
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Caritas-Zentrum Garmisch-Partenkirchen
locationDompfaffstraße 1, 82467 Garmisch-Partenkirchen, Deutschland
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Oberland-JOBS.de
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Gemeinde Albbruck
locationBadstraße 12, 79774 Albbruck, Deutschland
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locationBadstraße 12, 79774 Albbruck, Deutschland
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CBR Fashion Group
location78315 Radolfzell am Bodensee, Deutschland
Expressbewerbung
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JOBSamBodensee.de
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SAM GmbH
locationSitecpark 1, 83646 Bad Tölz, Deutschland
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Oberland-JOBS.de
Predictive Safety Meets Industry: Master’s Thesis in the Future of Occupational Safety (m/f/x)

Predictive Safety Meets Industry: Master’s Thesis in the Future of Occupational Safety (m/f/x)

Mit Berufserfahrung (1 bis 3 Jahre)

Predictive Safety Meets Industry: Master’s Thesis in the Future of Occupational Safety (m/f/x)

Wieland-Werke AG | Ulm | Corporate Function Sustainability & Technology | Energy & Operations | immediately
Kennziffer 2026-0140

Deine Zukunft

Predictive Safety Meets Industry. And You Help Shape It.

Do you want to do more than observe how occupational safety is evolving in industry? Do you want to actively contribute to shaping its future?

In this master's thesis, you will support the pilot implementation of an innovative, data-driven model for proactive occupational safety within the Wieland Group and evaluate its effectiveness from a scientific perspective. The central question is: How can severe, life-changing, or fatal workplace accidents be identified early and systematically prevented?

Working at the intersection of occupational safety, industrial processes, and data-driven decision-making, you will make a tangible contribution to advancing modern safety concepts in an international industrial environment.

Your Impact

  • Hands-on Experience: You will support the pilot implementation of a predictive SIF management model designed to identify critical risk scenarios at an early stage. The focus is on SIFs (Serious Injuries and Fatalities) as well as PSIF events (Potential Serious Injuries and Fatalities) that, under slightly different circumstances, could have resulted in a severe or fatal accident.
  • Analysis: You will develop a methodological approach to evaluate the effectiveness of the model and analyze leading indicators as well as control mechanisms.
  • Innovation: You will investigate the application of AI-supported data integration and modern safety routines in an industrial context.
  • Development: You will derive concrete recommendations for further development and scaling of the model.
  • Impact: Your work will directly contribute to advancing proactive occupational safety practices in industry.

Dein Potenzial

You are a great fit if you are looking for more than a “typical” master’s thesis:

  • Background: You are pursuing a degree in Industrial Engineering, Safety Management, Production Engineering, Data Science, or a comparable field.
  • Interest: You are passionate about occupational safety, industrial processes, and data-driven solutions.
  • Mindset: You approach challenges analytically and systematically and can translate complex topics into clear insights.
  • Drive: You take initiative, enjoy taking responsibility, and are motivated to make a real impact.
  • Teamwork: You enjoy working in interdisciplinary environments and collaborating with experienced professionals.

Deine Vorteile

  • Competitive Compensation: You will receive a monthly compensation of €1,100 throughout your master's thesis.
  • Maximum Flexibility: No mandatory on-site attendance – you will work independently and align your schedule with your thesis requirements.
  • Real-World Impact: You will work on a strategic industrial project with direct practical relevance.
  • Future-Focused Topic: Safety, Data & AI – contribute to a field with significant societal and technological importance.
  • Mentorship & Development: Benefit from close guidance and regular exchange with experienced experts.
  • Future Opportunities: Subject to mutual interest and fit, there may be opportunities for continued collaboration beyond the thesis project.

Kontakt

Gerne beantworte ich deine Fragen.

Frau Marina Tikvic
Tel: +49 731 944 1223

Berufserfahrung

  • Mit Berufserfahrung (1 bis 3 Jahre)