EV Grid Analytics Intern (OpenDSS, ML)

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

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.