KoBold Metals - Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery

• 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: