Directorate Fellow, Energy and Data AI
About The Position
Join our team here in the Nuclear Science and Technology directorate at Idaho National Laboratory to provide leading edge technical leadership to analyze data and generate results across cloud, on-premises, and edge-based computational architectures, apply technologies including explainable AI, large language models, and physics-informed machine learning, and develop software including 3D visualization tools, parallel software, and web API solutions in support of research objectives. In this role, you'll work with domain experts to understand the scope of questions data can answer, design output metrics that describe system behavior, collaborate with government agencies, academia, and industry partners, and publish results in peer-reviewed journals and conference proceedings. You will be shaping the future of how our organization builds and deploys intelligent systems.
Requirements
- PhD in data science, engineering, geosciences, mathematics, computer science, physics, geology, artificial intelligence, or related technical discipline and 10 years of relevant experience.
- Ability to interpret and communicate data-driven results within a energy domain context.
- Highly skilled at managing stakeholder relationships effectively with excellence in interpersonal skills.
- Highly skilled communicator across mediums and platforms.
- The ability to obtain and maintain a DOE level “Q” security clearance, which requires U.S. citizenship.
Nice To Haves
- 15 years of relevant experience.
- Experience with energy domain problems.
- Expertise in complex data management.
- Exposure to supervised/unsupervised learning techniques or data visualization tools.
Responsibilities
- Lead AI data architectures to enable Genesis Mission science and technology challenges
- Lead the development, validation, and interpretation of ML models and data pipelines in the context of energy applications.
- Lead efforts in writing journal articles, conference proceedings, on energy and data AI systems
- Analyze data and generate results in response to data analytics, visualization, and modeling needs on a variety of computational architectures (cloud, on-premises, edge-based).
- Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-informed machine learning, systems performance analysis, and/or data sensor fusion methodologies.
- Apply energy domain knowledge to identify opportunities for machine learning and data-driven analysis within energy systems, operations, or research programs.
- Collaborate effectively and consistently with data science teams to translate energy requirements into analytical frameworks.
- Lead in the evaluation of 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 in a simplified and effective manner and provide such materials to a national and international audience.
- Work effectively with little supervision on defined tasks with high complexity.
Benefits
- Medical, Dental, Vision, and Flexible Spending Accounts
- 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
- Paid time off (personal leave)
- Employee Education Program (tuition assistance for eligible positions)
- Comprehensive Relocation Package
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What This Job Offers
Job Type
Full-time
Career Level
Executive
Education Level
Ph.D. or professional degree
