PhD Internship: AI for Grid Storage Modeling

ISO New England Inc.

Holyoke (MA)

On-site

USD 26,000 - 50,000

Full time

12 hours ago
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Benefits offered by this job

Paid time off
Wellness program
Mentorship program
Exposure to energy industry

Job summary

ISO New England is seeking a PhD internship focused on AI-assisted modeling of energy storage. You’ll apply machine learning and data analysis to improve how storage is modeled in power system studies, supporting a more reliable, flexible, and innovative electric grid.

Within the Advanced Technology Solutions department, you’ll tackle a real-world challenge at the intersection of power systems and AI, gaining mentorship and contributing to research with practical impact on grid planning.

Qualifications

  • Background in power systems, operations research, ML, electrical engineering, or related field.
  • Experience with Python and packages such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
  • Ability to work with large datasets and translate analysis into clear technical findings.
  • Curiosity, problem-solving skills, and interest in using AI to solve real-world energy challenges.

Responsibilities

  • Use AI and data science to analyze historical storage behavior and improve storage modeling in power system studies.
  • Work on a real-world challenge at the intersection of power systems, ML, and grid innovation.

Skills

Power systems
Python
Data analysis
Machine learning
Electrical engineering

Education

PhD

Tools

pandas
NumPy
scikit-learn
PyTorch
TensorFlow

Job description

ISO New England is seeking a PhD internship focused on AI-assisted modeling of energy storage. You’ll apply machine learning and data analysis to improve how storage is modeled in power system studies, supporting a more reliable, flexible, and innovative electric grid.

Within the Advanced Technology Solutions department, you’ll tackle a real-world challenge at the intersection of power systems and AI, gaining mentorship and contributing to research with practical impact on grid planning.

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