Senior Computational Geophysicist
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Job Location:
Salt Lake, UT - USA
Monthly Salary:
Not Disclosed
Posted on:
27 days ago
Vacancies:
1 Vacancy
Job Summary
Senior Computational Geophysicist
(Electromagnetic and/or potential fieldsmethods)
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 Earthcontaining 2300 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.
Core Responsibilities
- 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:heliTEMmagnetotellurics (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
Required Experience
- 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 resultswith 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 andbusiness leaders and communicate clearly about what the data supports what it doesnt andwhere uncertainty matters
Equal Opportunity Employer
Zanskar is an equal-opportunity employer and complies with all applicable federal state and local
fair employment practice laws.
Required Experience:
Senior IC
