PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems

vor 2 Wochen


Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH Vollzeit
PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems

Robert Bosch GmbH is seeking a PhD researcher to contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems.

The successful candidate will research innovative Neuro-Symbolic methods to improve knowledge graph completion methods in smart manufacturing scenarios. Emphasis will be placed on the representation of heterogeneous and relation-based knowledge and the combination with learning-based approaches to enable explainability and transparency of the predictions.

The PhD researcher will validate the methods on one or more real use cases at Bosch. Evaluations will be performed on public benchmarking challenges in smart manufacturing recognized by the community and internal Bosch datasets.

Requirements:

  • Excellent master's degree in Computer Science, Mathematics, Engineering, or a related field
  • Strong experience in machine learning and graph embedding and graph neural networks
  • Good programming skills in Python and presentation skills
  • Knowledge of semantic methods and ontologies

Additional Information:

Bosch is an equal opportunities employer and welcomes applications from all qualified candidates.



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