Computational Geoscientist

ExploreTech Inc.; San Diego, Northern (CA, KY); Hybrid; USD 170,000 - 200,000; Full time

Benefits offered by this job

Equity

Job summary

ExploreTech Inc. in San Diego, CA is seeking a Computational Geoscientist to advance forward modeling, inversions, and ML models for mineral targeting. You will work with geologists, geophysicists, and engineers to translate research into production-ready code.

The role requires a PhD or equivalent, 3+ years in research, strong numerical methods, and Python expertise. Occasional travel to remote sites in the US and worldwide is expected. Starting salary is $180,000 plus equity.

Qualifications

• PhD or equivalent research experience in geoscience-related field.
• 3+ years of research experience in industry or academia.
• Proficiency in Python and scientific computing with large datasets.

Responsibilities

• Develop forward models and inversions for geophysical data.
• Build ML models predicting mineralization in 3D from geological and geophysical data.
• Design validation studies comparing model predictions with drilling results.
• Run large-scale simulations on high-performance computing systems.
• Work with software engineers to move research code into production.
• Document and publish methods internally, and externally where appropriate.
• Join field campaigns to see how data are collected.

Skills

Numerical methods

Inverse problems

Machine learning

Python

Education

PhD in geoscience or related field

Job description

Our mission is to discover the raw materials needed to create a prosperous world for the next 1000 years.With modern software and hardware, we aim to reduce mineral discovery timelines from 10 years to 1 year.Founded in 2023 by lifelong geoscientists, ExploreTech is a venture-backed business that develops technology and uses it to explore for minerals all over the world.

About the Role

We’re accelerating the pace of mineral discovery.Our drill targeting has hit mineralized targets 8 for 8, a significant improvement over industry standards.That result depends on the quality of our subsurface models, and improving them is the focus of this role.

As a Computational Geoscientist, you’ll develop and improve the numerical methods behind our targeting: forward modeling and inversion of geophysical data, and statistical and machine learning models that predict mineralization in 3D.You’ll test your methods against drilling results, which typically come back within months, and work with our software engineers to move methods that hold up into production.You’ll work alongside geologists, geophysicists, and engineers.

What You’ll Do

• Develop forward models and inversions for geophysical data
• Build statistical and machine learning models that predict mineralization in 3D from geological and geophysical data
• Design and run validation studies that compare model predictions with drilling results
• Run large-scale numerical simulations on high-performance computing systems
• Work with software engineers to move research code into production
• Document and publish methods internally, and externally where appropriate
• Join field campaigns to see how our data are collected

About You

• PhD in geoscience, geophysics, applied mathematics, physics, computer science, or a related field (or equivalent research experience)
• 3+ years of research experience in industry or academia (PhD research counts)
• Strong background in numerical methods, inverse problems, and machine learning
• Proficiency in Python and scientific computing, including work with large datasets
• Publications or applied models that informed real-world decisions
• Willing to travel occasionally to remote parts of the US and world

Location

San Diego, California
Field deployments as needed

Starting at $180,000
+ equity