Wieland-Werke AG | Germany | 89xxx Ulm | Full time | Published since: 02.07.2026 on stepstone.de
Predictive safety meets industry: Master's thesis in the occupational safety of the future (m/f/d)
Release potentials. Copper connects the world - in technologies such as e-mobility, energy and data transmission, refrigeration and climate technology, digitalization, the Internet of Things. Surprise us through your fresh thinking with new impulses and shape the world of tomorrow. Discover numerous ways to unlock your potential. Wieland stands for diversity and equal opportunities - for this reason we look forward to individual applications regardless of age, gender, nationality, religion and ethnic and social origin. .
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Your tasks • Your profile • What we offer
Your future Predictive safety meets industry. And you're making them. Do you not only want to see how industrial safety is developing, but to actively participate? In this master thesis, you will accompany the piloting of an innovative, data-driven control model for preventive work safety at Wieland Group and study its effectiveness scientifically. The focus is on how serious, life-changing or fatal accidents can be detected and systematically avoided at an early stage. You work at the interface between work security, industrial processes and data-based decisions and make a concrete contribution to the further development of modern safety concepts in an international industrial environment. Your influence Close to practice: You accompany the piloting of a predictive SIF control model for early detection of critical risk constellations. The focus is on so-called SIFs (Serious Injuries and Fatalities), i.e. heavy, life-changing or fatal accidents, as well as PSIF events, which could have led to such an accident under slightly altered circumstances. Analysis: You develop a methodological approach to assessing the effectiveness of the model and analyzes early indicators as well as control mechanisms. Innovation: You are exploring the use of AI-based data integration and modern security routines in an industrial context. Design: You make concrete recommendations for the further development and scaling of the model. Impact: With your work you make a direct contribution to the further development of preventive work security in the industry.
Your potential You fit well if you want more than a 'typical' master thesis: Background: You study economic engineering, security management, production technology, data science or a comparable degree program. Interest: You are passionate about work security, industrial processes and data-based solutions. Thinking: You work analytical, structured, and can make complex relationships understandable. Drive: You bring your own initiative, take responsibility and want to actively move something. Teamplay: You like to work interdisciplinary and want to exchange with experienced experts.
Your benefits Earn better: You receive a monthly fee of €1,100 during your master's thesis. Maximum flexibility: No fixed attendance requirement – you work independently and tailored to your thesis Practice instead of theory: You work on a real industrial project with high strategic relevance. Future topic: Safety, Data & AI – you are moving in an environment with high social and technological relevance. Care & development: Close technical support and regular exchange with experienced colleagues. Perspective: If appropriate, there is the possibility of further cooperation beyond the master's thesis. .
Location
![]() | Wieland-Werke AG | |
| Ulm | ||
| Germany |
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