Undergraduate Research Assistant-Dr. Bo Tu

• $15.00 hourly, Non-Exempt (Eligible for overtime)
• 10-20 hours per week
• 100% Remote Work Availability:
  No
• Hybrid Work Availability (requires some time on campus):
  No

This is a part-time, non-benefited position. Only UND students are eligible to be hired in this position.

• Focused work generating synthetic distribution feeders using Python and OpenDSS
• Direct contribution to power system resilience research

• Use the OpenDSS Python package to generate synthetic distribution power system models
• Develop and execute Python scripts to create, parameterize, and validate realistic feeder configurations
• Support data preparation, model customization, and output validation for resilience studies

• Able to work in-person (Grand Forks, ND)
• Enrolled undergraduate in Computer Science, Electrical Engineering, Data Science, or related field
• Basic to intermediate Python programming skills
• Willingness to work with the OpenDSS Python package (opendssdirect or similar)
• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.
This position does not support visa sponsorship for continued employment.