DeVry Bootcamp Logo

DeVry Bootcamp

Online Visiting Professor of Manufacturing and Automation

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
22-3K Hourly
Mid level
Remote
Hiring Remotely in United States
22-3K Hourly
Mid level
Teaches undergraduate and graduate manufacturing and automation courses in online and blended formats. Develops syllabi, lesson plans, course materials, assessments, and learning activities; uses online technologies and course-related software; grades fairly and provides timely feedback; supports responsible AI use in academic work; and participates in faculty training and development.
The summary above was generated by AI

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.

Opportunity:

DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.

 

  • Courses meet once or twice a week for eight weeks.
  • Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment.
  • Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements.
  • Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives.
  • All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. 
  • DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion.
  • As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities:

  • Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
  • Organizes, prepares, and regularly revises and updates all course materials.
  • Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students.
  • Models effective oral and written communications that engage the students, provide clarity, and improve student learning. 
  • Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories.
  • Ensures that the content and level of material included on exams correspond to the course terminal objectives.
  • Demonstrates consistency and fairness in the preparation and grading of exams and provides timely feedback to students.
  • Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
  • Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
  • Completes other duties as assigned.

 

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • A doctorate in Manufacturing Engineering, Industrial Engineering, Engineering Technology, Automation Engineering, or a closely related field is required, with at least 18 graduate credit hours in manufacturing systems, industrial automation, robotics, production engineering, or related technical disciplines.
    • Applicants must upload unofficial graduate-level transcripts with their application.
    • Degrees 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 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 teaching experience at the post-secondary level, 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, combined with 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 within manufacturing environments.
  • Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

 

Preferred Qualifications: 

  • 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 to maintain current industry knowledge.
  • Experience integrating hands-on laboratory instruction, industrial simulations, automation platforms, and applied production system projects into post-secondary instruction to support experiential learning.

 

Pay:

Visiting Professor pay is based on level, credit hours taught per 8-week session, and location. 

  • Pay may vary in most states from $1500-$2700 per 8-week session.
  • Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour. 

 

For Visiting Professor roles, we accept applications on an ongoing basis.

DeVry University offers benefit options for Visiting Professors, including:

  • 401(k) and Roth Plan
  • Paid Tuition Program
  • Remote and Flex Work Options
  • Paid Sick Time
  • Technology Stipend

 

We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

Similar Jobs

4 Minutes Ago
Remote or Hybrid
Boston, MA, USA
151K-187K Annually
Senior level
151K-187K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop machine learning models, predictive solutions, data pipelines, data models, and feature engineering workflows. Analyze large datasets, validate model outputs, document assumptions, and translate business needs into technical requirements and recommendations. Collaborate with stakeholders, refine analytical use cases, support solution prototyping, and guide junior team members through coaching and technical feedback.
Top Skills: Artificial IntelligenceData ModelingData PipelinesData VisualizationFeature EngineeringMachine LearningPredictive ModelingStatistical Analysis
16 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Artificial Intelligence • Big Data • Cloud • Security • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Own and scale Nasuni’s Marketing PMO by designing planning cadences, governance, intake processes, work-management infrastructure, metrics, and cross-functional operating models. Lead strategic programs involving marketing, IT, sales operations, finance, acquisitions, and transformation initiatives. Optimize Smartsheet, improve execution visibility and predictability, manage dependencies and risks, and implement AI-enabled workflows with appropriate validation and human accountability.
Top Skills: HubspotSalesforceSharepointSlackSmartsheet
17 Minutes Ago
Remote
US
193K-309K Annually
Senior level
193K-309K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.
Top Skills: Amazon EventbridgeAmazon KinesisAWSAws LambdaClaudeCursorJavaKotlinMcp Servers

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account