Independently conduct scientific research on applications of AI in the supply chain.
Design, methodically develop and practically validate the results (e.g., using real datasets).
Analyze and assess models, methods or use cases for practical applicability.
Coordinate technically with the team and gain insights into ongoing customer projects.
Work on a topic of your choice, to be agreed upon with the team.

Currently enrolled in a Master's program in Business, Industrial Engineering, Data Science, Engineering, Natural Sciences or a comparable field.
Initial experience with scientific research and data preparation.
Interest in quantitative questions at the intersection of AI, analytics and supply chain management.
Very strong analytical skills and a structured understanding of complex issues.
Independent, structured and proactive working style.
Confident use of common Office programs (particularly Word, Excel and PowerPoint); ideally first experience with data analysis tools or programming languages.
Very good German and English language skills.

Remote-first culture: freedom to work from anywhere in Germany, plus the option to work 20 days per year from another EU country.
Office: option to work in Münster or attend meetings in Munich, Berlin, Düsseldorf and Hamburg.
Flexible working hours: shape your workday according to your needs, with no fixed core hours.
Team Days: fostering exchange and helping new colleagues get to know each other.
Equipment: high-performance MacBook for daily work.
Training: unlimited access to Udemy courses for continuous development.
Company pension plan from thyssenkrupp, bike leasing, Corporate Benefits and many additional perks.

Master's thesis student, AI and Supply Chain

Key skills