Multimodal Expert for Knowledge Graphs and Visual Entity Recognition
vor 4 Wochen
Job Description
The successful candidate will participate in cutting-edge research in multimodal foundation models, focusing on visual entity recognition and knowledge graph embeddings.You will work on training advanced knowledge graph embedding methods, such as transE, transH, and GNN-based approaches.In addition, you will improve visual language models like CLIP and PaLI.Lastly, you will develop novel methods for combining knowledge graphs and foundation models.QualificationsEducation: Master's degree in Computer Science, Artificial Intelligence, or a related field.Experience: Familiarity with knowledge graphs and visual language models is an advantage.Personality and Working Style: A highly motivated and passionate researcher with excellent communication skills.Languages: Excellent proficiency in English.Additional Information
Duration: 6 months
Please attach your CV, transcript of records, and examination regulations. A valid work and residence permit is required if applicable.
Bosch values diversity and inclusion. We welcome applications from all qualified candidates, regardless of gender, age, disability, religion, ethnic origin, or sexual identity.
Contact: Hongkuan Zhou (Functional Department) or Lavdim Halilaj (Functional Department)
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