research
Posted 5 hours agoPostdoctoral Scholar — AI Researcher for Critical Mineral Discovery
GlobalRemote
Responsibilities
- Build pipelines that respect geological process constraints rather than purely data-driven correlations.
- Track record of publishing in peer-reviewed venues and willingness to engage directly with industry collaborators and field data. Preferred
Requirements
- Fully funded 3-year postdoctoral fellowship at Stanford Mineral-X, advised by Prof.
- The scholar will develop and apply AI, muon tomography, seismic imaging, and geophysical inversion methods to discover and characterize copper, nickel, lithium, cobalt, and rare earth deposits using real exploration data from active field programs.
- Machine learning for geoscience: Apply deep generative models, geostatistical priors, and physics-informed neural networks to regional-to-deposit-scale targeting and resource estimation.
- PhD (fully completed, and within 4 years of graduation) in physics, applied physics, geophysics, computational earth sciences, machine learning, applied mathematics, or related field.
- Strong Python proficiency (NumPy, PyTorch or JAX, scientific stack);
- experience with HPC, GPU computing, and reproducible research workflows.
- Demonstrated research output in at least two of: geophysical inversion, Bayesian/probabilistic methods, deep learning, particle physics detection, or seismic imaging. •
- Experience with muon transport simulation (GEANT4, CORSIKA), distributed acoustic sensing, or full-waveform inversion.
- Familiarity with mineral systems, ore deposit geology, or exploration workflows.
Benefits
- Term: Three years, fully funded. Competitive Stanford postdoctoral salary plus medical, dental, vision, and conference travel support.
- Salary: $80,000 - $90,000
Contact
- More information here: https://postdocs.stanford.edu/postdoc-admins/policy/funding-rates-and-guidelines. Research Scope