This is a fully remote position, open to applicants in California.

📋 Description

• Design and implement AI, muon tomography, seismic imaging, and geophysical inversion techniques to identify and characterize deposits of copper, nickel, lithium, cobalt, and rare earth elements.

• Create stochastic and ensemble inversion frameworks that integrate muon flux, seismic, magnetic, gravity, and EM data to develop 3D subsurface property models.

• Conduct forward modeling, sensor placement optimization, and inversion of cosmic-ray muon attenuation data.

• Utilize deep generative models, geostatistical priors, and physics-informed neural networks for resource estimation purposes.

• Enhance Mineral-X’s intelligent agent framework to facilitate data acquisition decision-making.

⛳️ Requirements

• A PhD (completed within the last 4 years) in physics, applied physics, geophysics, computational earth sciences, machine learning, applied mathematics, or a related discipline.

• Proficient in Python (NumPy, PyTorch or JAX, scientific stack); experience in HPC, GPU computing, and reproducible research workflows.

• Proven publication record in peer-reviewed journals and a willingness to collaborate directly with industry partners and field data.