Fervo Energy

Seismology and Data Analytics Intern

Fervo Energy

internship

Posted on:

Origin:  • 🇺🇸 United States • California, Colorado

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Job Level

Entry Level

Tech Stack

JavaScriptKerasPythonPyTorchSaltStackTensorflow

About the role

  • The Seismology & Data Analytics Intern will support Fervo Energy’s data team by developing automated and machine learning (ML) tools for processing real-time streams of fiber optic data from geothermal operations, which generate thousands of tiny, imperceptible manmade earthquakes ("microseismicity"). Accurate high-speed detection and location of these events is crucial to understanding physical processes that impact the success of operations. Responsibilities include processing and labelling large microseismic datasets, subsequently training a neural network to detect microseismic events in new data; and investigating ML tools to automatically determine the magnitude or location of microseismic events.

Requirements

  • Required Qualifications Pursuing a graduate degree in Geophysics, Computer Science or similar discipline (advanced undergraduate with proof of qualification also considered)
  • Proficiency with a computing language such as Python, C++, Julia
  • Ability to work independently
  • Willingness and ability to collaborate in a remote working environment
  • Must be legally entitled to work in the United States
  • Preferred Qualifications Completed coursework related to seismology
  • Experience working with Deep Learning tools such as PyTorch, Keras, Tensorflow
  • Experience working with seismometer or fiber optic data