Computational Postdoctoral Fellow For AI-driven Seismic Imaging
PICKLE RESEARCH CAMPUS, United States
R
USD 65K Entry-level Full Time
Tasks
- Conduct joint seismic inversion for velocity and density models
- Investigate 3D diffusion model feasibility in seismic imaging
- Perform AI driven waveform inversion research
- Research diffusion model approaches for seismic imaging
Perks/Benefits
- N/A
Skills/Tech-stack
Adjoint State Method | Autoencoders | C# | C++ | Computational Seismology | Convolutional Neural Networks | Deep learning | Denoising Diffusion | Denoising Diffusion Probabilistic Models | Diffusion Models | Full waveform inversion | GPU Acceleration | Generative AI | Gradient-based optimization | High Performance | High-Performance Computing | Hybrid Models | Machine Learning | Multi Scale Inversion | Neural Networks | Performance Computing | Physics-informed models | Probabilistic Models | PyTorch | Python | Score Based Models | TensorFlow | Wave Equation Modeling | Waveform inversion
Education
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