Directorate Fellow, Energy and Data AI/SI in , United States

Join our team here in the Nuclear Science and Technology directorate at Idaho 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/SI (Super Intelligence), large 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.

Essential Job Functions and Responsibilities: Lead AI/SI 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/Super Intelligence/Machine Learning (AI/SI/ML), Large 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 and international audience. Work effectively with little supervision on defined tasks with high complexity. Required

Level 6: PhD in data science, engineering, geosciences, mathematics, computer science, physics, geology, artificial/super 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. The ideal candidate will possess:

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. Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., The role has a 9x80 work schedule with every other Friday off and will work remotely or onsite in the Collaborative Computing Center within the Scientific Computing and AI division within the Nuclear Science & Technology division in Idaho Falls, ID.

$164,592 - $337,428 . At Idaho Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials., 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 Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with and international governments, universities and industry partners to change the world’s energy future and secure our nation’s critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world’s energy future and secure our nation’s critical infrastructure.