Computational Materials Scientist
remotemid
via Ashby
About this role
What We’re Looking For
We are looking for a Computational Materials Scientist to drive our first-principles modelling of structural stability, lattice dynamics, and thermodynamic properties. You will sit at the heart of our materials discovery pipeline, producing the reference data and physical understanding that feeds both our MLIP training and our broader simulation stack.
You will be joining a small, highly ambitious team of world-class materials scientists, engineers, and AI researchers. We move fast and value people who are energised by that.
This is a role for someone who has a deep understanding of computational material science, is excited about pushing the boundaries of computational methods, and make a meaningful contribution to material science
What You’ll Do…
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: sqs
2
Level fit
This role is mid-level. We check your trajectory against it.
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.
sqs