Found Description
We are looking for a Master thesis student with a background in business, chemistry/material science and data science to support a global procurement analytics initiative.
The thesis will explore how technical material information such as SDS, PDS, specifications and item descriptions can be transformed into a structured Material DNA and linked with procurement data for clustering, benchmarking and negotiation support.
The student will work on one selected pilot category, develop a first material intelligence framework, test clustering or data analysis approaches, and create practical outputs for procurement decision-making.
Qualifications
- Current Master studies in a relevant field, e.g. Business Chemistry, Chemical Engineering, Industrial Engineering, Data Science, Business Analytics or similar.
- Good understanding of Chemistry, Materials or technical product specifications.
- Strong analytical thinking ...
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