Online Visiting Professor of Manufacturing and Automation

DeVry University

13d•$1,500 - $2,700

About The Position

DeVry University seeks industry professionals to teach undergraduate and graduate students and share their professional knowledge and experience. Faculty facilitate student learning in accordance with University requirements, develop course syllabi and lesson plans, and apply teaching techniques to meet course and program objectives. Courses meet once or twice a week for eight weeks, combining face-to-face interaction with technology such as online discussions and assignments. Instructors participate in comprehensive faculty training and ongoing development activities. DeVry does not guarantee a specific number of work hours or assignments; these may vary according to the University’s needs and discretion. The role includes preparing and updating course materials, communicating expectations and evaluation criteria, assessing student work fairly, and providing timely feedback. Faculty are expected to use appropriate course technologies and to integrate AI responsibly into teaching and learning, including recognizing and addressing appropriate and inappropriate student use of AI tools. Visiting Professor pay depends on level, credit hours taught per eight-week session, and location. In most states, pay may range from $1,500 to $2,700 per session. In Arizona, California, Indiana, and Pennsylvania, pay is either $22.00 or $23.50 per hour. Applications are accepted on an ongoing basis.

Requirements

Doctorate in Manufacturing Engineering, Industrial Engineering, Engineering Technology, Automation Engineering, or a closely related field.
At least 18 graduate credit hours in manufacturing systems, industrial automation, robotics, production engineering, or related technical disciplines.
Upload unofficial graduate-level transcripts with the application.
Degrees must be from an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or from an international institution determined to hold equivalent accreditation.
Three to five years of applied professional experience in manufacturing environments, industrial automation, production engineering, robotics, or advanced manufacturing systems.
Demonstrated experience with manufacturing processes and automation technologies, including production systems, programmable logic controllers, robotics, industrial control systems, or smart manufacturing environments.
Two to five years of post-secondary teaching experience, preferably in manufacturing technology, industrial automation, robotics, or applied engineering disciplines.
Strong subject matter expertise in manufacturing systems and automated technologies.
Effective communication skills and the ability to explain technical concepts to diverse learners.
Knowledge of industrial safety standards, quality management practices, and operational efficiency principles in manufacturing environments.
Meet any additional requirements driven by state licensing, institutional policy, or accreditation standards.

Nice To Haves

Industry certifications related to manufacturing systems, industrial automation, robotics, or production technologies.
Experience with advanced manufacturing technologies such as robotics integration, industrial automation systems, computer numerical control (CNC), additive manufacturing, or smart factory systems.
Experience applying industrial operational frameworks, including lean manufacturing, continuous improvement, production optimization, or industrial systems integration.
Experience with digital manufacturing technologies, including industrial data systems, industrial internet of things (IIoT), or automated production monitoring.
Experience with programmatic or regional accreditation processes, including outcomes assessment, curriculum alignment, and continuous improvement initiatives.
Active membership or engagement in professional manufacturing, automation, or industrial technology organizations.
Experience integrating hands-on laboratory instruction, industrial simulations, automation platforms, and applied production system projects into post-secondary instruction.

Responsibilities

Develop and provide students with an approved DeVry University syllabus following the local campus template and including terminal course objectives.
Organize, prepare, revise, and update course materials regularly.
Use appropriate online technologies and course-related software, including websites, email, and online discussions, to prepare courses and make them accessible to students.
Model effective oral and written communication that engages students, provides clarity, and supports learning.
Set clear course expectations by publishing terminal objectives, assignment and examination dates, and the weighting of evaluation categories.
Ensure exam content and difficulty correspond to course terminal objectives.
Prepare and grade exams consistently and fairly, and provide timely feedback to students.
Integrate the responsible use of AI technologies into teaching and learning.
Recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
Complete other duties as assigned.