Summer Intern - ML for Geophysics & Uranium Discovery

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

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.