Geophysicist I

Posted 9 Days Ago
Be an Early Applicant
Salt Lake City, UT, USA
Hybrid
Entry level
Artificial Intelligence • Greentech • Energy • Renewable Energy
The Role
Develop passive seismic imaging methods for geothermal exploration, including velocity models, basement and fault imaging, and microseismicity analysis. Build reproducible Python/ObsPy processing pipelines for large datasets, refine seismic workflows, and integrate findings with exploration and R&D teams to evaluate geothermal prospects and support drilling decisions.
Summary Generated by Built In

Geophysicist I

Location: Salt Lake City, UT (hybrid)
Benefits Eligible: yes
Manager: Exploration Geophysics

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 seismologist to image the subsurface using ambient noise. Working within our Exploration Geophysics team, you'll help convert passive seismic signals into actionable items: images of basement depth, and fault geometry, that can be jointly interpreted with additional geophysical techniques to inform a complete conceptual model for drilling geothermal resources.

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 Exploration and R&D teams to integrate passive imaging into prospect evaluation
What we’re looking for

Required

  • Ph.D. or Master’s degree (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)
  • 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 results 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
    • Short term disability
    • Stock options
    • Growth opportunities at a company with a direct impact in displacing carbon emissions

 

 

 

Equal Opportunity Employer

 

Zanskar is committed to fostering an inclusive workplace and is an equal opportunity employer. We encourage candidates from all backgrounds to apply and will provide reasonable accommodations to individuals with disabilities in accordance with applicable laws.

Skills Required

  • Completed or near-completion Ph.D. or Master's degree in geophysics, seismology, or a closely related field
  • Research expertise in passive seismic methods, such as ambient noise tomography or microseismic analysis, demonstrated through peer-reviewed publications
  • Strong foundation in seismic signal processing and inversion
  • Proficiency in scientific computing and reproducible workflows, including Python and HPC
  • Experience with version control such as Git or GitHub
  • Ability to translate research-stage methods into practical tools under real-world data and time constraints
  • Strong cross-disciplinary collaboration and communication skills
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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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