Meet ApplyKite Twin, the application assistant that learns with you
Meet your Twin, it learns with you
Your Twin learns with you
Launch week codes:30% off annual Pro20% off monthly Pro
Ends in00h00m00s
Ends in00h00m00s
Pacific Northwest National Laboratory
Closing soon
Just Landed
New Today
Energy Systems Data Science Postdoctoral Researcher in Power Systems, Machine Learning, and Reliability Analysis Idaho National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position pays $105,144 annually. Postdoctoral benefits include access to self-contributed 401(k) participation, medical, dental and vision coverage, flexible spending accounts, paid personal leave, a comprehensive relocation package, and employee education assistance where eligible. Benefit eligibility depends on employment status and position classification.
Deadline
Nov 21, 2026
Country
United States
University
Pacific Northwest National Laboratory
Apply for this position
Free with an ApplyKite account: the application link, the deadline in your tracker and a check of your fit.
Keywords
Suggested positions
University of Illinois Chicago (UIC)
United States
3 months ago
PhD and Master’s research opportunities are available in the Bioinspired Robotics and Resilient Intelligence (BR2I) Laboratory at the University of Illinois Chicago (UIC), USA. The opening is in the Department of Mechanical & Industrial Engineering and is centered on bioinspired robotics, resilient intelligence, and related robotics/computational research themes. The post specifically mentions a PhD student opening for Spring or Fall 2027 and Master’s student researchers for the upcoming academi...
3 months ago
Argonne National Laboratory
United States
2 days ago
Argonne National Laboratory is seeking a Predoctoral Appointee in Techno-Economic Analysis for the Techno-Economic Analysis Group within the Energy Systems and Infrastructure Analysis Division. The appointee will contribute to the development, maintenance, and modernization of analytical tools used to evaluate the costs and performance of industrial, power, and transportation technologies and infrastructure. A central focus is the Energy Systems Techno-Economic Evaluation Model (ESTEEM), which s...
2 days ago
University of Illinois Chicago (UIC)
United States
3 months ago
The Bioinspired Robotics and Resilient Intelligence (BR2I) Laboratory in the Department of Mechanical and Industrial Engineering at the University of Illinois Chicago is seeking a PhD student for Spring or Fall 2027 and also recruiting master's student researchers for the upcoming academic year. The lab is led by Prof. Abriana Stewart-Height and focuses on robotics, resilient intelligence, and related engineering research areas. This opportunity is especially relevant for students interested in ...
3 months ago
Oklahoma State University
United States
3 weeks ago
Fully funded PhD opportunity in Power Systems , Artificial Intelligence , and Machine Learning for Intelligent Energy at Oklahoma State University in the School of Electrical and Computer Engineering . The position is associated with the X-Intelligent Energy (X-ING) Lab and is aimed at students interested in energy systems, smart grids, data-driven control, and AI-enabled power engineering. The post highlights a fully funded PhD opening and invites applicants with a background in Electrical Engi...
3 weeks ago
Sandia Biotech, Inc
United States
1 month ago
Sandia National Laboratories is hiring a Postdoctoral Appointee in Metal Additive Manufacturing and Process Monitoring in Albuquerque, New Mexico, United States . This postdoctoral role sits in Sandia’s Advanced Metals Processing team and focuses on metal additive manufacturing , process monitoring , diagnostic tool development , and data-driven analysis . The selected researcher will help develop next-generation on-machine monitoring and inspection tools, integrate diagnostics onto AM platforms...
1 month ago
About this position
Idaho National Laboratory is recruiting a Postdoctoral Researcher for the Energy and Water Systems Analysis group in Idaho Falls. The position focuses on applying energy systems data science to hydropower, marine energy, and related power-system assets.
The researcher will use machine learning, data analytics, mathematical optimization, reliability analysis, and quantitative risk assessment to address engineering and energy-sector challenges. Potential projects include reliability assessment of marine energy technologies; machine-learning prediction of dynamic loading on infrastructure exposed to icing; electricity-price databases and forecasting integrated with optimization-based valuation tools; and data-driven analysis supporting hydropower commercialization, fish passage, non-powered dams, and hybridization of hydropower plants with energy storage or other complementary technologies.
The role is embedded in an interdisciplinary applied research environment involving project managers, principal investigators, energy-industry stakeholders, and research sponsors. The researcher will contribute to software and data tools for decision-making, scientific manuscripts, research proposals, conference presentations, and sponsor meetings. The group operates from INL’s Idaho Falls facility on a 9x80 schedule.
The position suits researchers interested in power systems, hydropower, marine energy, reliability engineering, risk analysis, optimization, machine learning, and techno-economic assessment of clean-energy infrastructure.
Funding details
The position pays $105,144 annually. Postdoctoral benefits include access to self-contributed 401(k) participation, medical, dental and vision coverage, flexible spending accounts, paid personal leave, a comprehensive relocation package, and employee education assistance where eligible. Benefit eligibility depends on employment status and position classification.
What's required
Applicants must hold a PhD in electrical engineering, power and energy systems, industrial or systems engineering, mechanical engineering, data science, operations research, computer science, or another relevant discipline. PhD requirements must be completed by the appointment start date and within the previous five years. Candidates must demonstrate strong oral and published written communication skills in English, proficiency in Python, experience applying data analytics and machine learning to engineering or energy systems problems, and experience with reliability analysis, risk assessment, or mathematical optimization. Preferred experience includes quantitative reliability and risk methods, optimization using tools such as Pyomo or Gurobi, techno-economic analysis of energy projects, and work involving hydropower, non-powered dams, fish passage, marine energy, offshore wind, or related energy-water issues.
How to apply
Apply through the INL careers portal using the Apply Now option. Submit a resume and answer all questions on the subsequent application screens; incomplete applications may be deemed ineligible.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.