Renewable Term Lecturer in Applied Information Technology

Responsibilities

• Instruction at the undergraduate and graduate levels
• Course development
• Mentoring undergraduate and graduate students
• Supervising student independent courses and projects
• Contributing to systematic planning and development within SLIS
• Attending faculty meetings
• SLIS committee membership, other SLIS service assignments

Requirements

• Earned Ph.D. with a focus on information science, data science, or related discipline
• Demonstrated online teaching experience
• Experience teaching undergraduate and graduate students
• Experience teaching in an online, asynchronous format

Qualifications

Successful candidates will have a specialization in information technology and the ability to teach two or more of the following specializations:

• Data analytics (introductory and advanced levels)
• Website design and development
• Information visualization
• Database design and implementation
• User-centered design and evaluation
• Machine learning and natural language processing
• Applied Artificial intelligence models, evaluation, and applications
• Cybersecurity
• Cloud computing
• Trust and security

Pay

The standard distribution of effort for RT positions is 80% teaching and 20% service with a 4:4 (9-mo.) or 4:4:2 (12-mo.) teaching load, or equivalency.

Schedule

This position is located in Norman, Oklahoma and faculty members will be expected to move to the area. The standard teaching load is 8 classes per year, typically on a 3 fall, 3 spring, and 2 summer schedule. The remaining 20% is service within the department and university.