PhD in Geometric Deep Learning for Graph Signals

ELLIS; France; À distance; EUR 20 000 - 27 000; Plein temps

Résumé du poste

ELLIS at Télécom Paris/SudParis invites applications for a fully funded PhD position on Signal-aware Graph Summarization with GNN Guarantees. The project spans graph signal processing, graph ML, and geometric deep learning, aiming to preserve information for reconstruction and downstream tasks.

The PhD combines mathematical foundations with modern GNNs, focusing on guarantees, interpretability, and scalability to large graphs, over a 3-year duration.

Qualifications

• Candidate has M2 or equivalent in a related field.
• Strong background in signal processing and machine learning.
• Proficient in Python and PyTorch.

Responsabilités

• Develop methods for signal-aware graph summarization with guarantees.
• Study reconstruction and learning guarantees for graph models.
• Publish results and contribute to collaborations at LTCl and SAMOVAR.

Connaissances

Signal processing

Machine learning

Python

PyTorch

Graph ML

Geometric deep learning

Communication skills

Formation

M2 or equivalent degree

Outils

Python

PyTorch

Description du poste

ELLIS at Télécom Paris/SudParis invites applications for a fully funded PhD position on Signal-aware Graph Summarization with GNN Guarantees. The project spans graph signal processing, graph ML, and geometric deep learning, aiming to preserve information for reconstruction and downstream tasks.

The PhD combines mathematical foundations with modern GNNs, focusing on guarantees, interpretability, and scalability to large graphs, over a 3-year duration.