Careers at GSI

Careers & research opportunities

Postdoc, PhD, visiting scholar, and internship positions in computational geophysics, signal processing, and Distributed Acoustic Sensing (DAS).

01

Datasets that are actually real

Work on field data, not synthetic benchmarks: high-density DAS arrays and real seismic datasets, with the computational tools to match.

02

Open by default

Reproducible code and open science as the norm, with collaborations across institutions rather than siloed work.

03

Actual mentorship

Direct guidance from senior researchers and support getting published, not left to figure things out alone.

Open research tracks

Structured funding calls go out periodically, but we review spontaneous applications on a rolling basis regardless of whether a call is currently open.

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

  • 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 a CV and a brief proposal 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

  • 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 a CV and a brief proposal 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

  • Active academic appointment or faculty position
  • Research alignment with machine learning, DAS, or seismic processing
  • Proposal for joint publication or grant development
Send a CV and a brief proposal 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

  • 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 a CV and a brief proposal to our academic team.