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Thesis - Optimization of Graph Neural Networks for Product related data (d/f/m)

Schaefflervor 11 TagenWerkstudent
Vor OrtEnglisch erforderlichTechKI, ML & Data Science

Erforderliche Skills

MS OfficeGraph Neural NetworksPyTorch/PyGOptimization MethodsGraph DatabasesPythonMachine LearningLiterature Review

Stellenbeschreibung

Schaeffler hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Regensburg bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen.

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Beschreibung bereitgestellt von Schaeffler

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

General Information

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.

Your Key Responsibilities

  • Literature review
  • Improvement of working prototype of GNN for product related data

Your Qualifications

  • Studies in the field of MINT with focus on computer science or a comparable field of study
  • Proficient in MS Office programs, Python, (Graph)Databases, PyTorch/PyG, Machine learning methods & Optimization methods
  • Good written and spoken English skills (B1)
  • Excellent communication skills
  • Quick comprehension, proactive, creative and eager to learn

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

We place great importance on creating a working environment that promotes and actively supports diversity and inclusion. We look forward to receiving applications from all interested people, because your potential is what counts for us!

www.schaeffler.com/careers

Your Contact

Vitesco Technologies GmbH

Sylwia Kocenda

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