Seismology & Data Analytics Internship

Description

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

Location

Fervo Energy has offices in Houston, TX, Golden, CO, Reno, NV, Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at any of the above locations will be required.