Role Overview
Title: Computational Geoscientist
Hours: Full time
Location: Salt Lake City UT
Benefits Eligible: Yes
Manager: Ahinoam Pollack Head of Research
Mission Why we exist and why we need you
Geothermal energy is the most abundant renewable energy source in the world. There is 2300 times more energy in geothermal heat in the ground than in oil gas coal and methane combined. However historically its been hard to find and expensive to develop. At Zanskar were using AIdriven technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbonfree electrical grid. We set new industry standards for discovery rates finding new prospects at an unprecedented scale and revolutionizing the exploration process.
The research team at Zanskar is at the cutting edge of developing tools to pinpoint and characterize geothermal resources with higher precision than ever before. To achieve this capability we rely on both geological physical and machine learning modeling. We need a scientist with expertise in integrating geological and geophysical data as well as analyzing the value of geoscientific information. This key player on our team will help us unlock the next leap in geothermal exploration technology by leveraging diverse datasets algorithms and computational power.
Outcomes Problems youll solve
Success in this role will look like patentable workflows and tools that our team will deploy in the field in the next year to find and derisk an unprecedented number of geothermal resources that can be developed into commercial power plants before 2030. The workflows would automatically assimilate diverse datatypes analyze the value of the datasets and optimize field development decisions.
Competencies What were looking for
Computer programming: this position is a software development role. Several years of programming experience are necessary.
Experience in one of the following:
Geoscientific data assimilation/inversion: writing code for stochastic inversion of any type of geophysical or geological data such as potential fields (gravity magnetic magnetotelluric) seismic (active/passive) production/tracer data or well log / well test data.
Reservoir optimization: optimizing reservoir development choices based on data analysis.
Uncertainty quantification or value of information analyses: assessing the value of different geoscientific data.
Machine learning for the geosciences: developing and deploying machine learning models for aid in reservoir characterization or development workflows.
Earth sciences: preferably the candidate will have experience in modeling geothermal systems or faulted subsurface areas.
Effective communication skills: Collaborate with crossfunctional teams including exploration geologists data science and business leaders. This includes communicating on results roadblocks clarifications and recommendations for next steps and road maps.
This is a Senior or Staff level position. To be competitive a candidate will most likely need a Masters & 3yrs experience or a PhD & 1yr experience in quantitative earth sciences.
Location Salary and Benefits
The position is located in Salt Lake City. We are open to sponsor visas for exceptional cases.
Fulltime
Paid holidays
15 days PTO Accrual increase based on tenure
Paid Sick Leave
Medical Dental Vision
401k
A direct impact in displacing carbon emissions and growth opportunities in a growing startup environment