Postdoc - AI/ML and Multiscale Modeling of Materials under Non-Equilibrium Conditions
Oak Ridge, TN, US, 37830
USD 148K-237K (estimate) Senior-level Full Time
Tasks
- Apply ML methods for beam induced material modification
- Build interpretable and explainable AI models
- Develop and apply AI ML algorithms for materials discovery
- Develop machine-learned interatomic potentials
- Enable accelerated materials modeling for non equilibrium conditions
- Ensure safety compliance with environment health and quality programs
- Perform molecular dynamics simulations
- Present and publish research results
- Run Bayesian on the fly learning for multi fidelity simulation
- Support high throughput density functional theory workflows
- Support plasma etching and focused ion beam process modeling
Perks/Benefits
- 401k retirement plan
- Contributory pension plan
- Dental plan
- Disability benefits
- Educational assistance
- Employee assistance plan
- Flexible work hours
- Generous vacation and holidays
- Life insurance
- Medical plan
- Parental leave
- Relocation assistance
- Vision plan
Skills/Tech-stack
Artificial Intelligence | Bayesian Methods | Deep learning | Density Functional Theory | Explainable AI | High Performance | High Throughput | High-Performance Computing | High-throughput computing | Interatomic potentials | Interpretable machine learning | Language Processing | Machine Learning | Molecular Dynamics | Natural Language | Natural Language Processing | Performance Computing
Education
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