Computational Materials Scientist (Xora Portfolio Company) Closed

We are seeking a Computational Materials Scientist with expertise in either battery materials (solid/liquid electrolytes) or semi-conductors or catalysis. Elemynt is a computational materials research platform provider that works at the intersection of AI/ML, physics, and data-driven materials design. At Elemynt, the candidate is expected to be hands-on combining state-of-the-art ML interatomic potentials (MLIPs) with atomistic simulations to accelerate materials discovery.

Responsibilities

• Apply MLIPs (MACE, M3GNet, NequIP, GAP) to predict properties of materials
• Run atomistic simulations using DFT codes (VASP, Quantum ESPRESSO, CASTEP, etc.) and MD packages (LAMMPS, GROMACS, etc.)
• Implement graph neural networks and diffusion models to generate and optimize electrolyte candidates
• Perform synthesis prediction and precursor selection, linking atomistic modeling to experimental feasibility
• Curate and query large-scale materials and reaction databases for training and validation
• Collaborate with experimental teams to validate predictions and feed results back into automated workflows