Artificial Intelligence

• Lead AI data architectures for Genesis Mission science and technology challenges
• Lead development, validation, and interpretation of ML models and data pipelines for energy applications
• Lead writing journal articles and conference proceedings on energy and data AI systems
• Analyze data and generate results for analytics, visualization, and modeling needs across cloud, on-premises, and edge-based architectures
• Apply explainable AI/ML, large language models, physics-informed machine learning, systems performance analysis, and/or data sensor fusion
• Apply energy domain knowledge to identify opportunities for machine learning and data-driven analysis
• Collaborate with data science teams to translate energy requirements into analytical frameworks
• Evaluate model outputs using domain expertise to ensure physical accuracy and operational relevance
• Lead technical documentation, reports, and presentations related to ML-assisted efforts
• Present complex information effectively to national and international audiences
• Work with little supervision on highly complex defined tasks
• Collaborate with government agencies, academia, and industry partners
• Publish results in peer-reviewed journals and conference proceedings

Explore Directorate Fellow, Energy and Data AI at Idaho National Laboratory. Review requirements and application details.