This PhD project investigates the role of slab-derived fluids in subducting plates, focusing on their impact on rock deformation and deep Earth dynamics. The successful candidate will develop petro-thermo-mechanical models with machine learning surrogates to analyze fluid migration and its feedbacks with deformation processes.
Key aspects:
- Collaboration between the University of Montpellier (France) and the University of Minnesota (USA)
- Integration of numerical modeling, machine learning, and geological observations
- Opportunity for international research visits
Requirements:
- Strong background in (geo)physics and numerical modeling
- Proficiency in English
- Experience in geodynamics or petrology is advantageous
Application deadline: May 15, 2026
Start date: October 2026
Contact: nestor.cerpa@umontpellier.frFor more details, see the attached document.
