Deep Learning – Adjunct Faculty – Traditional Campus - (Fall 2026) – College of Engineering and Technology
Core
Adjunct faculty member teaching Deep Learning theory and practice (neural, convolutional, recurrent networks) to solve image, speech, and NLP problems.
Role type
Adjunct Faculty (Deep Learning)
Builds
Course curriculum and student learning outcomes in AI
Domain
Higher Education / Artificial Intelligence
Deliverable
product features
Required skills
Deep learning theory, Neural networks, Convolutional networks, Recurrent networks, Image processing, Speech processing, Natural language processing, Python programming, AI theoretical concepts
Preferred skills
Master's in Computer Science, Master's in Statistics
Responsibilities
Facilitate classroom lectures and discussions, Engage students in learning objectives, Assess student performance and mentor success, Support university doctrinal and ethical statements
Seniority
Adjunct, part-time instructor