EV Integration Analytics Student Engineer at Electric Power Research Institute

University of Delaware; California (MO); On-site; USD 20,664 - 34,440; Full time

Job summary

A leading educational institution offers an exciting internship in California focused on distribution system modeling and simulation to facilitate the electrification of the grid and the integration of EVs. The ideal candidate will hold a BS in electrical engineering and have experience with data analytics, OpenDSS, and coding in Python or MATLAB. This role requires outstanding analytical skills and the ability to work independently. The internship spans from January 5, 2026, to April 30, 2026, and candidates must be available on-site during this period.

Qualifications

• 1 or more years of power industry experience or graduate coursework.
• Ability to follow written and verbal directions.
• Knowledge of distribution system load modeling.

Responsibilities

• Support distribution system modeling, simulation, and analysis.
• Conduct grid analysis to enable higher adoption of EVs.
• Apply advanced data analytics.

Skills

Distribution modeling and analysis

Data analytics

Coding (Python, Matlab)

Analytical skills

Problem solving

Education

BS in electrical engineering

Tools

OpenDSS

Machine learning

Job description

Distribution utilities across the globe are undergoing efforts related to grid electrification and EV integration which represents an unprecedented transformation of the distribution system. This electrification transition creates significant challenges and opportunities for distribution planners to ensure an effective transition. It will also challenge the status-quo for how we plan and operate the system which creates a significant need for new research and development. Combined with the growing availability of new data and a workforce that is slowly retiring, this creates an exciting opportunity for young professionals to have an impact onto a rapidly evolving industry.

The EPRI Distribution Operations and Planning team leads research to advance the processes, tools, technology and workforce required for a modern distribution system. The research program is broad, with subject matter experts working on topics across planning, operations, protection, and analytics.

The team is continuously expanding their skillset from power system modeling, coding, tool development, big data analytics, machine-learning and AI algorithms, etc.

This position supports distribution system modeling, simulation, and analysis to enable higher penetration levels of EVs on the electrical grid.

Job Functions

• Distribution modeling and analysis using OpenDSS
• Apply and derive advanced data analytics
• Grid analysis to enable higher adoption of EVs (impacts from distributed EVs, managed charging, etc.).

Preferences

• BS in electrical engineering and 1 or more years of power industry experience or graduate coursework
• Must be able to follow written and verbal directions

Ideal Candidate

• Experience using OpenDSS or commercial distribution planning software
• Experience with coding (e.g. python, Matlab, etc.) and data analysis (machine learning, statistical methods, etc.)
• Knowledge of distribution system load modeling, state estimation, or advanced load flow simulation practices
• Outstanding problem solving and analytical skills
• Self-motivated with excellent time management

This internship position is based in California and will run from January 5, 2026 through April 30, 2026. Candidates must be available to work in California for the duration of the internship.