Summer Intern - Applied Science MSc/PhD

Terranox AI; San Francisco (CA); On-site; USD 89,280 - 178,560; Full time

Job summary

Terranox AI is seeking a Summer Intern in San Francisco to work on applied science in geophysics and machine learning. The role involves tackling real research problems that could directly affect how uranium is explored in the field. This internship presents an opportunity that could lead to a full-time position based on performance.

Applicants should be pursuing an MSc or PhD in relevant fields and possess strong scientific computing skills, especially in Python. A passion for applying modern ML techniques is essential.

Qualifications

• Currently pursuing a graduate degree in a related field.
• Strong scientific computing skills in Python.
• Interest in applying ML to geoscientific problems.

Responsibilities

• Work on a research problem combining geophysics and ML.
• Output will influence uranium exploration in the field.

Skills

Scientific computing skills (Python)

Machine learning interest

Education

Currently pursuing MSc or PhD in geophysics, applied physics, computational physics, or applied mathematics

Job description

Summer Intern – Applied Science MSc/PhD at Terranox AI (W26)

$8K - $16K

The first AI-powered uranium discovery company

San Francisco, CA, US | Internship | US citizen/visa only

Terranox is the first AI-powered uranium discovery company. Nuclear is the only clean, scalable, and baseload energy source available today, and we’re structurally short on uranium. We're addressing that by applying AI/ML to a discovery process that hasn't fundamentally changed in decades.

Backed by General Catalyst, 776 Ventures, Y Combinator, and others.

The Role

You'll work on a real research problem at the intersection of geophysics and modern ML. The summer's output will feed directly into how we explore for uranium in the field. With a strong fit, this internship can lead to a full-time offer.

Requirements

• Currently pursuing an MSc or PhD in geophysics, applied physics, computational physics, applied mathematics, or a closely related field
• Strong scientific computing skills (Python, the standard stack)
• Interest in applying modern ML to geoscientific problems

Bonus but not required

• Hands-on experience with ML methods on real geoscientific data
• Background in exploration geophysics

Logistics

• In-person in San Francisco