
Distribution Grid Modeling and Analytics - Engineer Staff III
Electric Power Research Institute
EI, CANADA OFFICEFull-time$92–101K/yrSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The Distribution Operations and Planning team conducts collaborative research to advance distribution system planning and operations. This role researches power system modeling, simulation, AI, machine learning, and measurement-based analytics, applying utility data to improve planning, operations, and protection. The position is based in Knoxville, Tennessee, with remote work considered for the right candidate.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Remote/Home Based
EPRI Knoxville Office
EI - Canada Office
Knoxville, TN
Full time
REQ-4064
Job Title:
Distribution Grid Modeling and Analytics - Engineer Staff III
Location:
EI - Canada Office, EPRI Knoxville Office, Knoxville, TN, Remote/Home Based
Job Summary and Description:
Utilities around the world are transforming their distribution systems to support electrification, distributed energy resources (DER), resilience, decarbonization, and growing operational complexity. As planning and operations become increasingly data-driven, utilities need advanced analytics, high-fidelity modeling, artificial intelligence, and trusted data to maintain a reliable, resilient, and efficient grid.
The EPRI Distribution Operations and Planning team leads collaborative research that advances the state of the art in distribution system planning and operations. Through the development of innovative methodologies, simulation tools, analytics, and field-validated solutions, the team addresses challenges spanning grid modernization, DER integration, protection, resilience, operations, and emerging technologies.
This position conducts research in advanced power system modeling, simulation, AI, machine learning, and measurement-based analytics. The successful candidate will develop and apply advanced analytical methods that combine power system models with data-driven approaches, leveraging utility data to improve planning, operations, and protection while translating cutting-edge research into practical solutions for the electric utility industry.
Key Responsibilities:
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Makes significant contributions to advanced modeling, simulation, and analytics projects
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Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges
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Evaluate emerging technologies and applications through analytical and field-based studies
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Contribute to technical publications, conference papers, webinars, and industry presentations
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Support proposal development and strategic research planning activities
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Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption
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Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations
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Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration
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Conduct model verification and validation activities using utility measurement data
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Assess the applicability, limitations, and performance of emerging AI technologies within utility environments
Ideal candidate:
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Strong knowledge of power system fundamentals, specifically distribution systems
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Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages
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Experience with distribution system model development, validation, and verification
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Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources
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Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation
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Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory
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Experience applying AI, machine learning, or advanced analytics techniques to power system applications
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Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
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Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads
Preferred Education:
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Bachelor’s degree in a technical field or equivalent experience
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Preferred MS or PhD in Electrical Engineering with Power System emphasis
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Minimum 2-3 years of engineering, utility, consulting, research, or equivalent experience preferred.
Location:
- This role is based out of our Knoxville, TN office. Remote work considered for the right candidate.
The salary range for this position is $92,000 USD to $101,000 USD annually.
This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
This role is eligible to participate in EPRI’s annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.
This role is eligible to participate in EPRI’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
Together Shaping the Future of Energy
EPRI provides thought leadership, industry expertise, and collaborative value to help the electricity sector identify issues, technology gaps, and broader needs that can be addressed through effective research and development programs for the benefit of society.
If you need help during the application process, please contact us at [email protected] .
How this job compares
Set against the 1,219 open Power Systems Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$92–101K/yr
- US median$105–184K/yr963 salary ranges
This range's midpoint, $97K, is 33% below the US median midpoint ($145K) — in the lowest quarter of Power Systems Engineer salary ranges across the US.
- Openings
- Olive Jobs lists 1,219 open Power Systems Engineer jobs across the US. 3% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- CDM Smith437 open
- Black & Veatch107 open
- Oracle90 open
- Experience
- Power Systems Engineer postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 8 years (1,053 postings).
- Education
- 803 of the 1,219 open Power Systems Engineer jobs (66%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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