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Energy Systems Data Science Postdoctoral Researcher

Idaho National Laboratory • United States
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Postdoctoral researcher to apply data science, machine learning, optimization, and reliability/risk analysis to hydropower, marine energy, and power systems. Focus on developing software/data tools for energy industry decision-making. Requires PhD in relevant engineering, data science, or computer science with Python proficiency and experience in machine learning, reliability analysis, and optimization.

Key Highlights
Postdoctoral position in energy systems data science at Idaho National Laboratory
Focus on machine learning, optimization, reliability, and risk analysis for hydropower and marine energy
Requires PhD in relevant engineering, data science, or computer science with Python proficiency
Key Responsibilities
Apply data science, machine learning, and optimization methods to energy systems
Conduct reliability and risk analysis for marine energy technologies
Develop software and data tools for energy industry decision-making
Write scientific manuscripts and present research results at conferences
Collaborate with interdisciplinary R&D teams on energy projects
Technical Skills Required
Machine Learning Reliability Analysis Optimization (e.g., linear, mixed-integer, stochastic programming)
Benefits & Perks
Medical, Dental, Vision, and Flexible Spending Accounts
401(k) with employer contribution (4.2% match for regular positions, self-contribute access for postdoctoral positions)
Paid time off (personal leave)
Employee Education Program (tuition assistance)
Nice to Have
Experience with probabilistic or structural reliability methods
Experience with tools like Pyomo, Gurobi for optimization
Techno-economic analysis of hybrid energy systems
Experience with hydropower, marine energy, or offshore wind

Job Description

The Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Research Associate in electrical engineering, power and energy systems, or comparable disciplines for the Energy and Water Systems Analysis group.

This postdoctoral researcher will apply data science, machine learning, optimization, and reliability and risk analysis methods to hydropower, marine energy, and other power system assets, and will contribute to software and data tools that support decision making by the energy industry and research sponsors.

Possible Research Activities Include

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