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Graduate Student Instructor

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University of Michigan

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Location:
United States , Ann Arbor

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Graduate Student Instructor position for SIADS 644 - Reinforcement Learning Algorithms. This course covers the basic principles of reinforcement learning and popular modern reinforcement learning algorithms. Students will develop familiarity with both model-based and model-free reinforcement learning algorithms, including Q-learning, Actor-Critic algorithms, and multi-armed bandit algorithms.

Job Responsibility:

  • Assisting in course planning and the delivery of UMSI courses on Coursera
  • Grading student assignments and exams
  • Conducting office hours and open lab times to meet with students
  • Attending weekly staff meetings
  • Managing autograders
  • Assisting students as they work on assignments
  • Facilitating small group online discussions and student conversations.
  • Demonstrating respect for students as individuals and fostering a respectful atmosphere in the online learning environment.
  • Working collaboratively with lead instructors and other instructional team members

Requirements:

  • UM Graduate student in good standing
  • Must meet eligibility criteria as defined in the GEO contract
  • Must be lawfully able to be employed in the United States, sponsorship to obtain such status is not available at this time
  • Programming: proficiency in Python
  • Jupyter Notebooks
  • PyTorch, OpenAI.Gym
  • Mathematics: linear algebra, probability and statistics, dynamic programming, reinforcement learning theory, and deep reinforcement learning algorithms.
  • Experiment Design: Familiar with implementation of deep reinforcement learning algorithms, including DQN, DDQN, DDPG, SAC. Familiar with the OpenAI.Gym environment.

Nice to have:

  • Experience or interest in teaching
  • Strong communication and analytical skills
  • Experience teaching programming and technology skills to beginning students.
What we offer:
  • monthly stipend
  • tuition waiver
  • health insurance

Additional Information:

Job Posted:
April 02, 2026

Expiration:
April 07, 2026

Employment Type:
Parttime
Work Type:
On-site work
Job Link Share:

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