Computational Postdoctoral Fellow For Ai-driven Seismic Imaging

University of Texas at Austin

Austin, Texas, United States
Base: $65,000; bonus/equity: not specified; benefi...
Hybrid
Phd in geophysics or related field
Full waveform inversion expertise
Deep learning with pytorch or tensorflow
This position aims to enhance the Bureau of Economic Geology's competency in computational seismology using AI-driven full-waveform inversion

Job Summary

  • This position aims to enhance the Bureau of Economic Geology's competency in computational seismology using AI-driven full-waveform inversion.
  • The successful candidate will perform research on 3D diffusion models for seismic imaging and joint seismic inversion for velocity and density models.
  • Applicants must have obtained their PhD within 3 years of the hire date and possess strong background in wave-equation-based modeling.

Matching Summary

This position aims to enhance the Bureau of Economic Geology's competency in computational seismology using AI-driven full-waveform inversion.

Salary

Base: $65,000; Bonus/Equity: Not specified; Benefits: TRS or ORP retirement plan eligibility

Skills & Requirements

Must-have

  • PhD in Geophysics or related field
  • Full waveform inversion expertise
  • Deep learning with PyTorch or TensorFlow
  • High-performance computing skills
  • Python and C/C++ programming

Nice-to-have

  • Experience with generative AI methods
  • Collaboration with Oden Institute
  • Prior UT Austin affiliation
  • Physics-informed neural networks
  • Leading interdisciplinary research projects

Key Requirements

  • PhD degree required
  • Degree obtained within 3 years of hire
  • Demonstrated research experience in seismic imaging
  • Proficiency in GPU acceleration
  • Background in adjoint-state methods

Work Rights

Must meet federal employment eligibility verification requirements

Tailored Resume

Cover Letter