Join GSRI Research Community

Careers & Research Opportunities

Collaborate on cutting-edge research in computational geophysics, machine learning, Distributed Acoustic Sensing (DAS), and signal processing.

01

High-Impact Research

Work on real-world geophysical datasets using state-of-the-art computational algorithms, high-density DAS arrays, and machine learning models.

02

Open & Collaborative

We promote open science, reproducible code, and international collaborations with leading institutions and research hubs worldwide.

03

Mentorship & Growth

Direct guidance from senior researchers, paper publication support in high-impact journals, and continuous skills development.

Open Research Tracks

While structured funding calls are published periodically, we continuously review spontaneous applications from exceptional candidates across all levels.

Postdoctoral
📍 Remote / HybridOpen Spontaneous

Postdoctoral Researcher in DAS Signal Processing & AI

Focus on developing deep learning frameworks for Distributed Acoustic Sensing (DAS) denoising, signal reconstruction, and automatic microseismic event location.

Key Qualifications & Skills:

  • PhD in Geophysics, Applied Mathematics, Computational Physics, or AI
  • Strong publication record in signal processing or seismic data inversion
  • Proficiency in Python (PyTorch/TensorFlow) and C++/CUDA
Send CV + Brief Proposal directly to our academic team.
PhD Student
📍 On-siteOpen Spontaneous

PhD Fellowship in Multidimensional Seismic Inversion

Investigate physics-informed neural networks (PINNs) and regularized spatial inversion methods for multi-component geophysical datasets.

Key Qualifications & Skills:

  • Master’s degree in Geophysics, Physics, Data Science, or related fields
  • Solid background in linear algebra, numerical analysis, and wave propagation
  • Demonstrated coding proficiency in Python or Julia
Send CV + Brief Proposal directly to our academic team.
Visiting Scholar
📍 Remote / HybridOpen Spontaneous

Visiting Research Fellow / Academic Collaborator

Collaborative position for university faculty and international researchers looking to run joint research initiatives on open geophysical benchmarks.

Key Qualifications & Skills:

  • Active academic appointment or faculty position
  • Research alignment with machine learning, DAS, or seismic processing
  • Proposal for joint publication or grant development
Send CV + Brief Proposal directly to our academic team.
Research Internship
📍 Remote / HybridOpen Spontaneous

Research Internship: Deep Learning for Geo-Data

Short-term (3 to 6 months) research project for graduate students interested in developing open-source Python packages for geophysical data denoising.

Key Qualifications & Skills:

  • Currently enrolled in Master’s or final year Undergraduate program
  • Experience with Scientific Python (NumPy, SciPy, PyTorch)
  • Enthusiasm for open science and reproducible research
Send CV + Brief Proposal directly to our academic team.