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Join an ANR-funded project at Geosciences Montpellier to study how liquids control deformation in the sub-arc mantle of subduction zones. Develop ML-driven numerical models to link micro- to macro-scale processes.

Key tasks:

  • Train ML models for phase/magma predictions.
  • Integrate models into two-phase flow simulations.
  • Validate with natural analogs.

Duration: 20 months

Start: May–Nov 2026 (flexible)

Requirements:

  • PhD in geophysics/computational geosciences.
  • Strong numerical modeling and programming skills (Python/C++).
  • HPC/ML experience a plus.

Apply: Send CV, cover letter, and 2 references to nestor.cerpa@umontpellier.fr. Rolling review.

For more details, see the attached document.