Zanskar1mo ago

Senior Computational Geophysicist

United States·Salt Lake CityFull Timesenior

OtherPhysicist

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Overview

Senior Computational Geophysicist (Electromagnetic and/or potential fields methods) Role Overview Title: Senior Computational Geophysicist Hours: Full-Time, Salaried Location: Salt Lake City, UT,

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OtherPhysicist

Senior Computational Geophysicist

(Electromagnetic and/or potential fields methods)

Role Overview

Title: Senior Computational Geophysicist

Hours: Full-Time, Salaried

Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote)

Benefits Eligible: Yes

Manager: Head of Reservoir R&D

Mission — Why We Exist and Why We Need You

Geothermal energy is the most abundant renewable energy source on Earth—containing ~2,300× more

energy than all fossil fuels combined. Yet despite this enormous potential, geothermal has historically

been difficult, slow, and expensive to discover and develop.

At Zanskar, we are transforming geothermal exploration by combining geophysics, geology, and AI-driven

modeling to dramatically increase discovery rates and reduce development risk. We operate at scale and

at speed, setting new industry standards for how geothermal prospects are identified and de-risked.

To support this mission, we are hiring a Senior Computational Geophysicist with deep, hands-on

experience in electromagnetic and/or potential fields methods who can take real field data from active

geothermal sites and turn it into defensible subsurface interpretations. This role is fundamentally about

streamlining and automating inversion workflows that incorporate structural, lithological, and hydrothermal

constraints: ensuring models reflect geological reality, not just a mathematical best-fit.

Lead and execute stochastic and traditional inversions on active geothermal sites, producing subsurface models that materially de-risk drilling and development decisions

Work extensively with electromagnetic and/or potential fields data, including: heliTEM, magnetotellurics (MT), gravity and gagnetic data

Quantify uncertainty and assess model robustness in decision-critical settings

Integrate inversion results with geological models, structural interpretations, well data, and drilling outcomes

Develop and maintain Python-based tools and pipelines that automate inversion workflows, reduce manual overhead, and enable consistent, repeatable results across many sites

Collaborate closely with geologists and ML researchers

Communicate results clearly, including uncertainties, assumptions, and recommended next steps

Contribute to patentable methods and tools that advance geothermal exploration

Multiple years of hands-on inversion experience on real-world geothermal or subsurface projects, across multiple sites and datasets

Direct experience with EM and/or potential fields methods (heliTEM, MT, gravity, and/or magnetics) from raw field data through to full inversion workflows

Strong programming skills in Python, including experience building reproducible, maintainable scientific software; familiarity with inversion frameworks, numerical optimization, or HPC environments is a strong plus

Experience implementing or modifying inversion algorithms, and comfort with stochastic, Bayesian, and regularization-based approaches

Solid physical intuition for geophysical observables and the ability to reconcile inversion results with geological, structural, and operational constraints

Comfort operating under imperfect data, time pressure, and evolving site understanding

Proven ability to collaborate across disciplines: geologists, field teams, ML researchers, and business leaders, and communicate clearly about what the data supports, what it doesn't, and where uncertainty matters