We are looking for highly motivated students willing to work on graphs and machine learning. The background and the skills sought for these projects include: machine learning, network science, data mining, Python programming, deep learning. This page lists some of the available master projects and student summer jobs. The projects are high-impact and generally lead to scientific publications or open source software.

🎓 Available Theses

• Graph neural networks and Physics
  Keywords: Physics Informed Neural Networks, Graph Neural Networks
  Contact Person: Benjamin Ricaud
• Clustering and graph coarsening with Graph Neural Networks
  Keywords: Graph pooling, Graph coarsening, Node clustering
  Contact Person: Filippo Maria Bianchi
• Polar weather prediction with Graph neural networks
  Keywords: Weather forecast, Graph Neural Networks, Deep Learning
  Contact Person: Benjamin Ricaud
• Power flow optimization with Graph Neural Networks
  Keywords: Power flow oprimization, Energy analytics, Power engineering
  Contact Person: Filippo Maria Bianchi
• Graph of text data, using large language models
  Keywords: LLMs, Retrieval Augmented Generation
  Contact Person: Benjamin Ricaud