Senior Research Scientist, Magnets
Core
Computational discovery and optimization of next-generation rare-earth-lean and rare-earth-free permanent magnet materials using first-principles, multi-scale simulations, and machine learning.
Role type
Senior Research Scientist (Materials Science/Computational Chemistry)
Builds
Novel magnet formulations and high-fidelity data generation campaigns for the magnetism-aware Large Quantitative Model (LQM).
Domain
Materials Science / Computational Chemistry / AI for Materials
Deliverable
production ML models | research
Required skills
DFT and atomistic simulation, Python programming, machine learning for materials, multi-scale modeling, collaboration with experimental teams
Preferred skills
Alloys and microstructure engineering, ML interatomic potentials (MACE, NequIP, Allegro), finite-temperature magnetism modeling, Bayesian optimization, CHIPS Act/DOE program experience
Technologies
VASP, Quantum ESPRESSO, LAMMPS, ASE, PyTorch, JAX, HPC
Responsibilities
Execute DFT and multi-scale simulations to predict magnetic properties; develop ML-driven workflows for high-throughput screening; lead data generation campaigns for LQM; connect simulation outputs to microstructure and process-level predictions; collaborate with experimental partners to validate predictions; communicate findings via publications and patents.
Seniority
Senior, hands-on IC