Postdoctoral Researcher – Passive Seismic Imaging

Posted 10 Days Ago
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Salt Lake City, UT, USA
Hybrid
Junior
Artificial Intelligence • Greentech • Energy • Renewable Energy
The Role
Conduct passive seismic imaging and microseismic analysis to build velocity models, image basement depth and faults, develop and benchmark processing and inversion methods, create reproducible Python/HPC pipelines, and integrate passive seismic results into geothermal prospect evaluation.
Summary Generated by Built In
Postdoctoral Researcher – Passive Seismic Imaging

Location: Salt Lake City, UT (hybrid)
Benefits Eligible: yes
Salary: $85k - $95k
Manager: Seismic Team Lead

Why we exist and why we need you

Geothermal energy is the most abundant renewable energy source in the world. However, historically it’s been hard to find and expensive to develop. At Zanskar, we’re using advanced technology to find and develop new geothermal resources that make baseload geothermal a cost-effective and vital contributor to a carbon-free energy future. We are revolutionizing the exploration process, setting new industry standards for discovery rates by finding new prospects at an unprecedented scale and working to develop faster and cheaper with scale and reduced risk drilling. 

We're seeking a Postdoctoral Researcher in Passive Seismic Imaging to help advance how we image the subsurface using earthquakes and ambient noise. Working alongside our exploration and R&D teams, you'll help convert passive seismic signals into actionable items: images of basement depth, and fault geometry, that improve how we characterize prospects.

Outcomes – Problems you’ll solve
  • Build velocity models and image basement depth, layering, and fault structure from passive arrays
  • Locate and analyze microseismicity to map active faults, stress regimes, and structural controls
  • Develop, benchmark, and refine passive seismic imaging methods
  • Construct reproducible, well-documented processing pipelines (Python/ObsPy or equivalent) that scale to large datasets
  • Work with the exploration and R&D teams to integrate passive imaging into prospect evaluation
What we’re looking for

Required

  • Ph.D. (completed or near completion) in geophysics, seismology, or a closely related field
  • Demonstrated research expertise in passive seismic methods such as ambient noise tomography or microseismic analysis, evidenced by peer-reviewed publications
  • Strong foundation in seismic signal processing and inversion
  • Proficiency in scientific computing and reproducible workflows (e.g., Python, HPC), with version control (e.g., Git/GitHub) a plus
  • Ability to translate research-stage methods into practical, decision-grade tools under real-world data and time constraints
  • Strong cross-disciplinary collaboration skills, able to communicate and integrate effectively with geologists, geophysicists, engineers, and data scientists
Location and Benefits
  • The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position
  • Benefits include:
  • Paid holidays
  • 18 days PTO + PTO accrual increase based on tenure
  • Medical, dental and vision coverage
  • 401k 
  • Life insurance + Short term & Long term disability
  • Growth opportunities at a company with a direct impact in displacing carbon emissions

Equal Opportunity Employer

 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws. 

Skills Required

  • Ph.D. in geophysics, seismology, or closely related field (completed or near completion)
  • Demonstrated research expertise in passive seismic methods (e.g., ambient noise tomography or microseismic analysis) with peer-reviewed publications
  • Strong foundation in seismic signal processing and inversion
  • Proficiency in scientific computing and reproducible workflows (e.g., Python, HPC)
  • Experience with version control (e.g., Git/GitHub)
  • Ability to translate research methods into practical, decision-grade tools under real-world constraints
  • Strong cross-disciplinary collaboration and communication skills with geologists, geophysicists, engineers, and data scientists
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The Company
Year Founded: 2021

What We Do

Zanskar is the first AI-native geothermal energy company. It utilizes artificial intelligence, machine learning, and advanced geoscience to precisely pinpoint and develop utility-scale geothermal resources. By transforming exploration into a repeatable, data-driven process, Zanskar aims to unlock vast amounts of clean, firm baseload power, making geothermal energy a cornerstone of the future power grid and a major player in the U.S. energy mix.

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