Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery
Tasks
- Apply deep generative models and physics informed neural networks
- Assimilate muon flux seismic magnetics gravity and EM data
- Build 3D subsurface property models with calibrated uncertainty
- Design drill hole placement and geophysical survey strategy under uncertainty
- Develop stochastic and ensemble multiphysics inversion frameworks
- Extend intelligent agent framework for sequential data acquisition decisions
- Optimize sensor placement for muon tomography
- Perform muon tomography forward modeling and inversion
- Use geostatistical priors for regional to deposit scale targeting
Perks/Benefits
Skills/Tech-stack
Acoustic sensing | Bayesian Inference | CORSIKA | Data Processing | Deep generative models | Deep learning | Distributed acoustic sensing | Ensemble Inversion | Full waveform inversion | GPU Computing | Geant4 | Generative Models | Geophysical inversion | Geospatial Data | Geospatial Data Processing | Geostatistics | High Performance | High-Performance Computing | JAX | Machine Learning | Muon Tomography | Neural Networks | Normalizing flows | NumPy | Performance Computing | Physics Informed Neural Networks | Physics-Based Modeling | Probabilistic Modeling | PyTorch | Python | Seismic Imaging | Stochastic Inversion | Uncertainty Quantification | Waveform inversion
Education
Roles
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