• 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.
• Track record of publishing in peer-reviewed venues and willingness to engage directly with industry collaborators and field data.
• 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.
• Prior work with diffusion models, normalizing flows, or generative models.
• Term: Three years, fully funded. Competitive Stanford postdoctoral salary plus medical, dental, vision, and conference travel support.
• Term:
• Location: Stanford, CA. Periodic travel to industry partner sites and field programs.
• Location:
• Start: Preferably Aug 1, 2026
• Start: