Postdoctoral Scholar — AI Researcher for Critical Mineral Discovery
Remoteremote$80K – $90K
via Greenhouse
About this role
Position:
Fully funded 3-year postdoctoral fellowship at Stanford Mineral-X, advised by Prof. Jef Caers, in collaboration with KoBold Metals, developing and deploying new methods for critical mineral exploration and resource definition. The scholar will develop and apply AI, muon tomography, seismic imaging, and geophysical inversion methods to discover and characterize copper, nickel, lithium, cobalt, and rare earth deposits using real exploration data from active field programs. More information here: https://postdocs.stanford.edu/postdoc-admins/policy/funding-rates-and-guidelines.
Research Scope…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, numpy, pytorch, jax, ray
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonnumpypytorchjaxray