Postdoc in Geometric Deep Learning & Graph Neural Nets

ELLIS; Paris; Sur place; EUR 38 000 - 48 000; Plein temps

Résumé du poste

A leading research institute is offering a postdoctoral position in geometric deep learning and graph machine learning. This role involves working on innovative research projects focusing on theoretical guarantees and developing models for structured data. Candidates should have a Ph.D. (or near completion) in related fields and a strong publication record. The position is for 1 year, renewable, and offers collaboration opportunities with experts. Applications are reviewed on a rolling basis.

Qualifications

• PhD (or near completion) in applied mathematics, computer science, or electrical engineering.
• Strong background in machine learning with interest in theoretical aspects.
• Experience in geometric deep learning and/or graph signal processing.

Responsabilités

• Work on geometric deep learning and graph machine learning under supervision.
• Engage in research collaboration with leading experts.

Connaissances

Machine learning

Geometric deep learning

Graph signal processing

Python

PyTorch

Formation

PhD in applied mathematics, computer science, or related fields

Description du poste

A leading research institute is offering a postdoctoral position in geometric deep learning and graph machine learning. This role involves working on innovative research projects focusing on theoretical guarantees and developing models for structured data. Candidates should have a Ph.D. (or near completion) in related fields and a strong publication record. The position is for 1 year, renewable, and offers collaboration opportunities with experts. Applications are reviewed on a rolling basis.