PhD Position in Scalable Graph Learning

3 weken geleden

Delft, Zuid-Holland, Nederland TU Delft Voltijd
Job Description

TU Delft is seeking a highly motivated PhD candidate to work on a project focused on scalable graph learning. The project aims to identify the trade-offs between combinatorial and neural-network-based approaches in the Graph ML space. The successful candidate will have the opportunity to contribute to the development of novel graph neural network architectures and algorithms, and to explore their applications in real-world scenarios.

Key Responsibilities
  • Design and implement novel graph neural network architectures and algorithms
  • Develop and evaluate scalable graph learning methods
  • Collaborate with the research team to explore applications of graph neural networks in real-world scenarios
  • Contribute to the development of research papers and presentations
Requirements
  • Master's degree in Computer Science, Mathematics, Electrical Engineering, or a related field
  • Strong background in algorithms and complexity analysis
  • Excellent programming skills in Python and C/C++
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Good communication and teamwork skills
What We Offer
  • 4-year PhD position with a competitive salary and benefits
  • Opportunity to work with a talented research team and contribute to cutting-edge research
  • Access to state-of-the-art research facilities and equipment
  • Professional development opportunities and support
About TU Delft

TU Delft is a world-renowned university that combines science, engineering, and design to address global challenges. Our faculty of Electrical Engineering, Mathematics and Computer Science is a leading institution in the field of computer science and engineering. We are committed to creating a diverse and inclusive work environment that fosters innovation and collaboration.

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