Online Visiting Professor – Manufacturing and Automation

DeVry University

. Teach undergraduate and graduate courses as a visiting professor in manufacturing and automation .

Posted 9/17/2026part-timeRemote • Arizona • United StatesMid-LevelSenior💰 $1,500 - $2,700 per weekWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Manufacturing Engineering and Industrial Automation, with a strong focus on curriculum development, effective communication, and the integration of AI technologies in teaching. Possesses extensive experience in applied manufacturing environments and post-secondary education.

Highest-signal resume keywords

Doctorate In Manufacturing EngineeringApplied Professional Experience In Manufacturing EnvironmentsPost-Secondary Teaching Experience In Manufacturing TechnologyStrong Subject Matter Expertise In Manufacturing SystemsIndustry-Recognized Certifications In Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Manufacturing SystemsIndustrial AutomationRoboticsProduction EngineeringProgrammable Logic ControllersIndustrial Control SystemsSmart ManufacturingCNCAdditive ManufacturingLean Manufacturing

Soft Skills

Effective Communication SkillsAbility To Explain Technical Concepts

Tools & Technologies

Online TechnologiesCourse-Related SoftwareAI TechnologiesIndustrial SimulationsAutomation Platforms

Certifications & Qualifications

Industry-Recognized Certifications In ManufacturingProfessional Credentials In Automation

Industry Keywords

Industrial Safety StandardsQuality Management PracticesOperational Efficiency PrinciplesContinuous ImprovementProduction OptimizationIndustrial Systems IntegrationIIoTAutomated Production MonitoringAccreditation ProcessesLaboratory Instruction

About the role

Key responsibilities & impact

Teach undergraduate and graduate courses as a visiting professor in manufacturing and automation
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 online technologies and course-related software, including websites, email, and online discussions
Model effective oral and written communication to engage students and improve learning
Publish course objectives, assignment and examination dates, and evaluation weight distributions
Ensure examinations align with terminal course objectives
Prepare and grade exams consistently and fairly
Provide timely feedback to students
Integrate responsible use of AI technologies into teaching and learning
Recognize, evaluate, and address appropriate and inappropriate student use of AI tools
Participate in comprehensive faculty training and ongoing faculty development activities
Complete other duties as assigned

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 must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an internationally equivalent accredited institution
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
Preferred: experience with robotics integration, industrial automation systems, CNC, additive manufacturing, smart factory systems, lean manufacturing, continuous improvement, production optimization, industrial systems integration, IIoT, automated production monitoring, accreditation processes, professional organizations, laboratory instruction, industrial simulations, automation platforms, and applied production system projects

Benefits

Comp & perks

Comprehensive faculty training program
Ongoing faculty development activities
Online/virtual teaching arrangement
Flexible course scheduling (courses meet once or twice a week for eight weeks)
Compensation 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