Master thesis on Knowledge Graph-driven Supply Chain Optimization

  • Robert-Bosch-Campus 1, 71272 Renningen, Germany
  • Full-time
  • Legal Entity: Robert Bosch GmbH

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

Job Description

  • Jointly with a team of researchers and domain experts you will take part in the development of Artificial Intelligence (AI) methods for supply chain optimization.
  • You will support the team with the implementation of the methods as well as extensive testing.
  • In this process, you will exploit a variety of AI tools and integrate them in a common system for the supply chain optimization.

Qualifications

  • Education: Master studies in the field of Computer Science with excellent grades
  • Personality and Working Practice: responsible, self-motivated, reliable, innovative and willing to learn
  • Experience and Knowledge: excellent experience programming in Python; working experience with knowledge graphs; familiar with RDF, SPARQL and (preferably) constraint programming solvers
  • Enthusiasm: passionate about AI and its industrial applications, willing to learn and gain further knowledge and experience in this area
  • Languages: very good in English

Additional Information

Start: according to prior agreement
Duration: 6 - 10 months (the total duration of the thesis must be confirmed in the study regulations)

Requirement for this thesis is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Need further information about the job?
Daria Stepanova (Business Department)
+49 711 811 91016
Trung Kien Tran (Business Department)
+49 173 4683722

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