Internship in Graph Signal Processing and Deep Learning

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.