> Markdown version of [/jobs/ext/3846417-distribution-modeling-and-analytics-utilities-student-employee](https://www.wearedevelopers.com/jobs/ext/3846417-distribution-modeling-and-analytics-utilities-student-employee). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distribution Modeling and Analytics Utilities Student Employee - **Company:** Electric Power Research Institute, Inc. - **Location:** Knoxville, TN, United States - **Salary:** $33,280.0 - $60,320.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, C Sharp (Programming Language), Distributed Systems, Python (Programming Language), Machine Learning, Data Analytics - **Published:** October 20, 2026 - **Apply:** https://vhr-epri.wd1.myworkdayjobs.com/epricareers/job/Knoxville-TN/Distribution-Modeling-and-Analytics-Utilities-Student-Employee_REQ-4156 ## About the Role * BS in electrical engineering and 1 or more years of power industry experience or graduate coursework * Experience/course work regarding distribution system modeling & simulation * Must be able to follow written and verbal directions, * Experience using OpenDSS or commercial distribution planning software( CYME, Synergi, Milsoft) * Experience with coding (e.g. python, C#, etc.) and data analysis (machine learning, statistical methods, etc.) * Knowledge of distribution system modeling, utility measurement data, or advanced load flow simulation practices * Outstanding problem solving and analytical skills * Self-motivated with excellent time management ## Description Distribution Modeling and Analytics 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 supports distribution system modeling, simulation, and analysis across a range of topics to advance the distribution system.