Reinforcement Learning– Adjunct Faculty – Traditional Campus (Spring 2027) – College of Engineering and Technology
On-site · United States
Core
Adjunct faculty member teaching Reinforcement Learning fundamentals and algorithm implementation to engineering and IT students.
Role type
Adjunct Faculty (Computer Science/AI)
Builds
Course curriculum and student learning outcomes in AI/ML
Domain
Higher Education / Artificial Intelligence
Deliverable
product features
Required skills
Reinforcement Learning, Python, AI theoretical concepts, Classroom instruction, Student assessment, Mentoring
Preferred skills
Master's in Computer Science or Statistics, 18 graduate credits in AI
Technologies
Python
Responsibilities
Facilitate classroom lectures and discussions, Engage students in learning course objectives, Assess student performance, Mentor student success
