One of the main tasks of the department "Sustainable Products & Advanced Materials" (SP&AM) is the assessment of product carbon footprints (PCF) of the Schaeffler portfolio. In order to calculate PCFs automatically the digitalization team (CESD) of this department collects, stores and processes product related data. Addressing data quality issues is a special challenge within fully automatized workflows. Today there are powerfull ML/AI tools available in order to tackle this issue. One of these tools are Graph Neural Networks (GNNs), which are of peculiar interest when it comes to product related data that naturally unfolds in graph structures.
A basic requirement for a thesis at Schaeffler is proof of enrollment at the time of the thesis. This position is available from October 2026 for a duration of 6 months.
One of the main tasks of the department "Sustainable Products & Advanced Materials" (SP&AM) is the assessment of product carbon footprints (PCF) of the Schaeffler portfolio. In order to calculate PCFs automatically the digitalization team (CESD) of this department collects, stores and processes product related data. Addressing data quality issues is a special challenge within fully automatized workflows. Today there are powerfull ML/AI tools available in order to tackle this issue. One of these tools are Graph Neural Networks (GNNs), which are of peculiar interest when it comes to product related data that naturally unfolds in graph structures.
A basic requirement for a thesis at Schaeffler is proof of enrollment at the time of the thesis. This position is available from October 2026 for a duration of 6 months.
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Ferdinand-Pölzl-Str. 2
2560 Baden
Österreich
Ferdinand-Pölzl-Str. 2
2560 Baden
Österreich
Vollzeit
AI & Machine Learning