Pacific Northwest National Laboratory · 6 hours ago
EEIP PhD Intern - Electricity Infrastructure & Buildings Research
Pacific Northwest National Laboratory (PNNL) is a leading research institution focused on addressing critical energy and environmental challenges. The EEIP PhD Intern will gain hands-on research experience in the Electricity Infrastructure & Buildings Division, working on projects related to energy efficiency, electric grid modernization, and the integration of renewable energy systems.
Biomass EnergyEnergyGovernmentProduct ResearchSecurity
Responsibilities
Are you interested in making the world a better place while gaining valuable research experience to launch your career?
Participants will begin in cohort sessions and must be available to start on May 26, 2026 or June 19, 2026 as part of the Summer 2026 cohort
EEIP interns in our Electricity Infrastructure & Buildings Division will experience firsthand how PNNL addresses some of our nation’s toughest problems in energy efficiency, electric grid modernization, and the integration of renewable energy, storage, and electric vehicles with the power grid
Join our division of over 400 experts and explore how your training in fields such as, electrical engineering, mechanical engineering, architectural engineering and buildings sciences, systems engineering, data sciences, energy policy, and economics, can position you for a high impact career at a national lab
You’ll Be Matched With a Mentor Based On Your Career Interests, And Project Opportunities, And Assigned To a Research Group Working In One Of The Following Areas
Power Systems Engineering: grid architecture and communications, power system modeling and simulation, cyber and physical energy security
Energy System Analytics and Control: learning and predictive analytics, control theory and system optimization, sensing and measurement, and advanced computing, including high-performance and edge computing
Building System Sciences & Engineering: building energy modeling, electrical systems design and integration, whole-building performance evaluation and optimization, building technology testing and validation
Policy, Markets and Deployment: power market design and analysis, economic analysis and valuation, policy and regulatory analysis for buildings and electricity infrastructure, community energy transition planning
Gain hands-on research experience in a national laboratory setting
Collaborate with top scientists and engineers in cutting-edge research fields
Build professional connections that can support future career opportunities
Qualification
Required
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college
Minimum GPA of 3.0 is required
Preferred
Applicants should be working toward a science, technology, engineering, or mathematics (STEM) degree, or related degrees
Discipline of interest: Electrical Engineering or Power Systems Engineering, Mechanical Engineering, Architectural Engineering or Building Sciences, Systems Engineering, Energy Policy, Economics, Computer Science, Software, Engineering, or Cyber Security Engineering, Data Sciences
Benefits
Health insurance
Flexible work schedules
Employee assistance program
Business travel insurance
Company funded pension plan
401k savings plan
Company
Pacific Northwest National Laboratory
Pacific Northwest National Laboratory operates as a government research laboratory.
H1B Sponsorship
Pacific Northwest National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (186)
2024 (167)
2023 (182)
2022 (202)
2021 (147)
2020 (136)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of Energy
2022-07-14Grant
2018-07-16Grant
Leadership Team
Recent News
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-11
Pacific Northwest National Laboratory
2026-01-03
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