Dartmouth Events

The Teaching Assistant Position is open to Dartmouth graduate students who are enrolled in a master's program.

Teaching Assistant Position
Course: ENTR 170: Energy Systems Modeling
Term: Spring 2026
Hours: Up to 12 hours per week, including attending lectures as needed on Mondays and Wednesdays, 1:30-3:30pm
 
Course Overview
ENTR 170 introduces students in Dartmouth's Master of Energy Transition program to the use and evaluation of energy systems models for solving integrated technological, environmental, economic, and social problems. The course covers foundational models of energy system operations, planning, investment, markets, and technology adoption, while exploring fundamental modeling topics including uncertainty treatment, spatial and temporal scaling, and stakeholder preferences. Students engage with real-world case studies, guest lectures from industry experts, and hands-on modeling exercises using tools like Python and Excel.
 
Position Responsibilities

Instructional Support (40%)

• Attend lectures and facilitate class activities, provide administrative support and technical troubleshooting in class
• Assist students with Python and excel coding activities for data analysis and visualization
• Work with the instructor to provide guidance on energy modeling concepts and approaches
• Hold regular office hours (1hr/week) and answer student questions on Canvas/through email

Assessment & Grading (40%)

• Review and provide feedback on assignments and deliverables
• Assist instructor with grading using established rubrics
• Track assignment submissions and follow up with students as needed

Course Administration (20%)

• Maintain course datasets and computational resources
• Support logistics for guest lectures and presentations
• Monitor student progress and identify those needing additional support
• Assist with technical setup for class activities
• Update course materials on Canvas as needed

Qualifications

• Currently enrolled in a master's program at Dartmouth
• Background in energy systems, renewable energy, or energy policy
• Strong proficiency in Excel-based modeling and visualization
• Proficiency in Python, particularly for data analysis and visualization
• Strong understanding of energy systems concepts
• Excellent communication skills and ability to explain technical concepts clearly
• Ability to work independently and manage time effectively

Time Commitment

• Average of 12 hours per week. Time requirements will vary throughout the semester with presentations and assignment deadlines.

Application Materials

Please email shuchen.cong@dartmouth.edu by Sunday, March 15 with the following:

• 1. Current CV or resume
• 2. Brief statement of interest (200 words) describing:
  • Your relevant technical skills and experience
  • Your approach to supporting student learning in technical courses