Senior Research Scientist, US

Key Responsibilities: Execute and analyze DFT and multi-scale simulations to predict properties of Fe- and Co-based intermetallic systems Develop computational workflows and ML models for high-throughput screening of rare-earth-lean and rare-earth-free magnet candidates Collaborate with experimental partners to validate predictions and contribute to the Design-Build-Test-Learn feedback loop

Required Qualifications: PhD or equivalent experience in Solid-state Physics, Quantum Chemistry applied to Materials Science, or a related field Hands-on experience with DFT or atomistic simulation Strong programming skills in Python and modern scientific-computing practices Experience applying machine learning or high-throughput methods to materials problems Ability to collaborate with experimental or cross-functional teams for validation of predictions