PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems

vor 4 Wochen


Renningen, Baden-Württemberg, Deutschland Bosch Vollzeit
Job Title: PhD Researcher in Explainable Knowledge Graph Completion for Intelligent Manufacturing Systems

At Bosch, we are seeking a highly motivated PhD researcher to join our team and contribute to the development of explainable knowledge graph completion methods for intelligent manufacturing systems. The successful candidate will work on innovative neuro-symbolic approaches to improve knowledge graph completion methods in smart manufacturing scenarios.

Key Responsibilities:
  • Develop and implement novel neuro-symbolic methods for knowledge graph completion in smart manufacturing scenarios.
  • Collaborate with our team to design and conduct experiments to evaluate the performance of the developed methods.
  • Contribute to the development of a knowledge graph completion framework that integrates explainability and transparency.
Requirements:
  • Master's degree in Computer Science, Mathematics, Engineering, or a related field.
  • Strong experience in machine learning and graph neural networks.
  • Good programming skills in Python and knowledge of deep learning frameworks (PyTorch).
  • Excellent communication and teamwork skills.
What We Offer:
  • A dynamic and collaborative work environment.
  • The opportunity to work on cutting-edge research projects.
  • A competitive salary and benefits package.
How to Apply:

Please submit your application, including your CV, certificates, and a cover letter, to Sarah Schneck (Human Resources) or Irlan Grangel Gonzalez (Functional Department).



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