Internship Overview

This internship focuses on the compression and efficient processing of graph data, bridging the fields of graph signal processing and deep learning.

• Research Theme: Graph signal processing, graph machine learning, geometric deep learning.
• Keywords: Graph signals, compression, graph coarsening.

Candidate Profile

We are looking for candidates who:

• Are currently pursuing an M2 in engineering, data science, computer science, applied mathematics, signal processing, or statistics.
• Have strong programming skills in Python, particularly with PyTorch.

Application Process

Interested candidates should send their application materials (PDF format) to:

• Jhony H. Giraldo: jhony.giraldo@telecom-paris.fr
• Aref Einizade: aref.einizade@telecom-paris.fr
• Antonio Ortega: aortega@usc.edu
• Include a full CV, a motivation letter, and a transcript of records.