Semiconductor Material Science Research Scientist

Highlights

• Predict key semiconductor properties like band gaps, defect levels and interfaces.
• Partner with experimentalists to synthesize computationally identified materials.
• Advance AI to solve complex global challenges for widespread public benefit.

Ideal candidate

Curious PhD-level researcher with deep physical intuition who thrives bridging computational prediction and lab discovery to advance semiconductors.

Requirements

• PhD in Computational Materials Science, Solid-State Chemistry, Condensed Matter Physics or related field or equivalent experience
• Technical experience in first-principles simulation methods including DFT and DFPT
• Programming experience for workflow management, data analysis and tool automation
• Experience using computational packages like VASP, Quantum ESPRESSO or similar
• Experience developing or applying machine learning models for materials property prediction
• Experience with high-throughput computational workflows and HPC or cloud infrastructure
• Familiarity with molecular dynamics packages like LAMMPS
• Track record of bridging computational prediction and experimental discovery