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Master Thesis in Multimodal Foundation Models with Knowledge Graphs for Visual Entity Recognition

vor 1 Monat


Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH Vollzeit
Master Thesis Opportunity in Multimodal Foundation Models

Robert Bosch GmbH is seeking a highly motivated Master thesis candidate to work on a project focused on multimodal foundation models with knowledge graphs for visual entity recognition.

Project Overview:

The goal of this project is to develop and apply state-of-the-art methods for visual entity recognition, combining information from knowledge graphs, images, and text. This will involve training advanced knowledge graph embedding methods and improving visual language models.

Responsibilities:

  • Develop and implement knowledge graph embedding methods, such as transE, transH, and GNN-based methods.
  • Improve visual language models, such as CLIP and PaLI.
  • Combine knowledge graphs and foundation models to develop novel methods for visual entity recognition.

Requirements:

  • Master studies in Computer Science, Artificial Intelligence, or a related field.
  • Experience with knowledge graphs and visual language models is an advantage.
  • High self-motivation and passion for research.
  • Very good English language skills.

Additional Information:

This is a full-time, 6-month project. The candidate must be enrolled at a university and provide a valid work and residence permit. Diversity and inclusion are core values at Robert Bosch GmbH, and we welcome applications from all qualified candidates.

For more information, please contact Hongkuan Zhou or Lavdim Halilaj.