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Online Visiting Professor – Manufacturing and Automation
DeVry University. Teach undergraduate and graduate courses for eight-week sessions meeting once or twice weekly .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in teaching manufacturing systems and automation technologies, with a strong focus on developing course materials and facilitating student learning. Possesses a Doctorate in a relevant engineering field and extensive experience in both applied engineering and post-secondary education.
Highest-signal resume keywords
Doctorate In Manufacturing EngineeringTeaching Experience In Manufacturing TechnologyExpertise In Manufacturing SystemsExperience With Automation TechnologiesIndustry-Recognized Certifications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Manufacturing SystemsIndustrial AutomationRoboticsProduction EngineeringProgrammable Logic ControllersIndustrial Control SystemsSmart ManufacturingCourse DevelopmentAssessment DesignFeedback Provision
Soft Skills
Effective CommunicationStudent EngagementAdaptabilityFeedback DeliveryTechnical Concept Explanation
Tools & Technologies
Course-Related SoftwareOnline Discussion PlatformsEmail CommunicationWebsites For Course Access
Certifications & Qualifications
Industry-Recognized Certifications
Industry Keywords
Manufacturing EnvironmentsIndustrial Safety StandardsQuality Management PracticesOperational Efficiency Principles
About the role
Key responsibilities & impact- Teach undergraduate and graduate courses for eight-week sessions meeting once or twice weekly
- Facilitate student learning in accordance with DeVry University requirements
- Develop course syllabi and lesson plans aligned with course and programmatic objectives
- Organize, prepare, revise, and update course materials
- Use websites, email, online discussions, and course-related software to make courses accessible
- Model effective oral and written communication
- Set course expectations, terminal objectives, assignment and examination dates, and evaluation weightings
- Ensure exams align with course terminal objectives
- Prepare and grade exams consistently and fairly
- Provide timely feedback to students
- Integrate responsible AI use into teaching and learning
- Recognize, evaluate, and address appropriate and inappropriate student use of AI tools
- Complete other assigned duties
Requirements
What you’ll need- 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
- Unofficial graduate-level transcripts must be uploaded with the application
- Degree from an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or equivalent international accreditation
- Three to five years of applied professional experience in manufacturing environments, industrial automation, production engineering, robotics, or advanced manufacturing systems
- 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
- Industry-recognized certifications or professional credentials relevant to manufacturing, industrial automation, robotics, or production systems
- Strong subject matter expertise in manufacturing systems and automated technologies
- Effective communication skills and ability to explain technical concepts to diverse learners
- Knowledge of industrial safety standards, quality management practices, and operational efficiency principles within manufacturing environments
- Additional requirements may apply based on state licensing, institutional policy, or accreditation standards
Benefits
Comp & perks- Comprehensive faculty training program
- Ongoing faculty development activities
- Online/technology-enhanced learning environment
- Pay of $1500-$2700 per 8-week session in most states
- Hourly pay of $22.00/hour or $23.50/hour in AZ, CA, IN and PA