REQ-4064 Distribution Grid Modeling and Analytics - Engineer Staff III

EPRI; Knoxville (TN); Hybrid; USD 92,000 - 101,000; Full time

Job summary

EPRI’s Knoxville-based Distribution Operations and Planning team seeks an Engineer Staff III to advance distribution system modeling, data-driven analytics, and AI-enabled tools. You will apply power system theory with data-driven methods, using AMI/SCADA data, and collaborate with utilities to translate research into practical grid solutions.

The role emphasizes developing scalable modeling tools, validating models with real data, and contributing to publications, while supporting research

Qualifications

• Strong knowledge of power system fundamentals, distribution systems.
• Experience developing software tools and analytical applications (Python, C#, Delphi, Java).
• Experience with distribution system model development, validation, and verification.
• Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other sources.
• Proven ability to conduct power systems analytical studies focusing on distribution modeling and simulation.
• Experience with OpenDSS, CYME, Synergi, Milsoft, PowerFactory.
• Familiarity with AI, ML, or analytics; knowledge of TensorFlow, PyTorch, Scikit-Learn is desirable.
• Experience modeling high penetrations of DER and electrification technologies.

Responsibilities

• Contribute to advanced modeling, simulation, and analytics projects.
• Undertake independent research and help develop new tools and methodologies.
• Evaluate emerging technologies through analytical and field studies.
• Support publications, webinars, and technical presentations.
• Assist in proposal development and strategic research planning.
• Engage with utility members to identify challenges and transfer results.
• Develop AI-enabled tools for utility planning and operations.
• Clean, quality-check, and integrate measurement data.
• Verify and validate models using utility data.
• Assess applicability and limitations of AI in utility environments.

Skills

Power systems fundamentals

Software development

Python

C#

Delphi

Java

AMI/SCADA data handling

AI/ML techniques

DER modeling

Education

Bachelor’s degree in a technical field

MS or PhD in Electrical Engineering (Power Systems)

2–3 years relevant experience

Tools

OpenDSS

CYME

Synergi

Milsoft

PowerFactory

TensorFlow

PyTorch

Scikit-Learn

Job description

Job Title:

Distribution Grid Modeling and Analytics - Engineer Staff III

Location:

Knoxville, TN

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:

• Makes significant contributions to advanced modeling, simulation, and analytics projects
• Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges
• Evaluate emerging technologies and applications through analytical and field-based studies
• Contribute to technical publications, conference papers, webinars, and industry presentations
• Support proposal development and strategic research planning activities
• Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption
• Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations
• Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration
• Conduct model verification and validation activities using utility measurement data
• Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

• Strong knowledge of power system fundamentals, specifically distribution systems
• Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages
• Experience with distribution system model development, validation, and verification
• Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources
• Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation
• Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory
• Experience applying AI, machine learning, or advanced analytics techniques to power system applicationsFamiliarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
• Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads

Preferred Education:

• Bachelor’s degree in a technical field or equivalent experience
• Preferred MS or PhD in Electrical Engineering with Power System emphasis
• 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.

www.epri.com

Key Responsibilities:

• Makes significant contributions to advanced modeling, simulation, and analytics projects
• Conducts independent research activities with guidance and contributes to development of new tools, methodologies, and research approaches to address industry challenges
• Evaluate emerging technologies and applications through analytical and field-based studies
• Contribute to technical publications, conference papers, webinars, and industry presentations
• Support proposal development and strategic research planning activities
• Engage with utility members to identify challenges, transfer research outcomes, and support technology adoption
• Contribute to the development and evaluation of AI-enabled tools and analytics applications for utility planning and operations
• Develop and apply repeatable processes for measurement data cleaning, quality assessment, and integration
• Conduct model verification and validation activities using utility measurement data
• Assess the applicability, limitations, and performance of emerging AI technologies within utility environments

Ideal candidate:

• Strong knowledge of power system fundamentals, specifically distribution systems
• Demonstrated experience developing software tools and analytical applications using Python, C#, Delphi, Java, or similar languages
• Experience with distribution system model development, validation, and verification
• Experience cleaning and utilizing utility measurement data from AMI, SCADA, and other field sources
• Proven ability to conduct power systems analytical studies, with an emphasis on distribution modeling and simulation
• Demonstrated experience with one or more industry modeling and simulation tools such as OpenDSS, CYME, Synergi, Milsoft, PowerFactory
• Experience applying AI, machine learning, or advanced analytics techniques to power system applications
• Familiarity with modern AI and data science frameworks such as TensorFlow, PyTorch, Scikit-Learn, LLM-based systems, agentic workflows, or related technologies is desirable
• Experience modeling high penetrations of DER, inverter-based resources, electrification technologies, and flexible loads