Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery
Core
Developing and deploying AI, muon tomography, seismic imaging, and geophysical inversion methods to discover and characterize critical mineral deposits using real exploration data.
Role type
Postdoctoral Researcher (AI/Geophysics)
Builds
3D subsurface property models, resource estimation pipelines, and intelligent agent frameworks for sequential data acquisition decisions.
Domain
Critical mineral exploration, geophysics, machine learning
Deliverable
production ML models | research
Required skills
Python (NumPy, PyTorch/JAX), stochastic and ensemble inversion, deep generative models, physics-informed neural networks, HPC/GPU computing, geostatistical priors
Preferred skills
Bayesian/probabilistic methods, muon transport simulation, distributed acoustic sensing, full-waveform inversion, diffusion models, normalizing flows
Technologies
PyTorch, JAX, GEANT4, CORSIKA, NumPy
Responsibilities
Develop frameworks to assimilate multi-physics data (muon flux, seismic, magnetics, gravity, EM) into 3D models; optimize sensor placement for muon tomography; build pipelines respecting geological constraints; extend intelligent agent frameworks for drill hole placement and survey design.
Seniority
Postdoctoral Fellow