AI-Driven GNSS+PEGS Graph for Rapid Earthquake Warnings

3IA Côte d'Azur; France; Sur place; EUR 35 000 - 45 000; Plein temps

Résumé du poste

3IA Côte d'Azur is seeking a postdoctoral researcher to adapt PEGSGraph for GNSS data, enabling rapid earthquake magnitude estimates. The project will leverage synthetic GNSS records and real data to build a joint PEGS-GNSS graph neural network.

The role emphasizes open dissemination through publications and an open-source repository, with potential collaboration with early warning agencies.

Qualifications

• PhD in Geophysics or data science.
• Strong programming skills and experience in GNSS data processing.
• Experience with graph neural networks is a plus.

Responsabilités

• Adapt PEGSGraph to GNSS data and develop a GNSS-augmented graph neural network.
• Simulate synthetic GNSS records for earthquake scenarios and add empirical noise.
• Compare GNSS-only, PEGS-only and PEGS-GNSS models to assess contributions.

Connaissances

Programming skills

GNSS data processing

Formation

PhD in Geophysics or data science

Outils

Graph neural networks

Description du poste

3IA Côte d'Azur is seeking a postdoctoral researcher to adapt PEGSGraph for GNSS data, enabling rapid earthquake magnitude estimates. The project will leverage synthetic GNSS records and real data to build a joint PEGS-GNSS graph neural network.

The role emphasizes open dissemination through publications and an open-source repository, with potential collaboration with early warning agencies.