Electronic Structure and Data-Driven Materials Design
Brookhaven National Laboratory(23 days ago)
About this role
A Postdoctoral Research Associate at Brookhaven’s Center for Functional Nanomaterials performs computational and data-driven research to understand and design catalytic materials. The role emphasizes developing automated Python workflows and interpretable descriptors from first-principles calculations to link electronic structure and thermodynamics to catalytic behavior while collaborating with experimental groups and data services.
Required Skills
- DFT
- Thermodynamics
- Python
- Workflows
- Machine Learning
- Random Forest
- HPC
- Spectroscopy
- Data Analysis
- Descriptor Engineering
Qualifications
- Ph.D. (Materials Science, Physics, Electrical Engineering, or related) conferred within past five years
About Brookhaven National Laboratory
bnl.govWe advance fundamental research in nuclear and particle physics to gain a deeper understanding of matter, energy, space, and time; apply photon sciences and nanomaterials research to energy challenges of critical importance to the nation; and perform cross-disciplinary research on computation, sustainable energy, national security, and Earth’s ecosystems.
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