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Adjunct- Industrial Engineering Instructor

Job in Northern, Floyd County, Kentucky, USA
Listing for: Alvernia University
Full Time position
Listed on 2026-10-15
Job specializations:
  • Education / Teaching
    College Lecturer
  • Engineering
Salary/Wage Range or Industry Benchmark: 40 - 60 USD Hourly USD 40.00 60.00 HOUR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Adjuncts Reading, PA, US

2 days ago Requisition

Adjunct Faculty Pool | John R. Post School of Engineering | Reading, Pennsylvania

The John R. Post School of Engineering at Alvernia University invites applications to its adjunct faculty pool in Industrial Engineering. We seek professionals to teach both lecture and laboratory courses in person in Reading, Pennsylvania. Most engineering courses are taught at the John R. Post Center, 401 Penn Street, Reading, PA, with some activities potentially using other Alvernia Reading locations. Applicants must be available for weekday daytime teaching, primarily between 8:00 a.m. and 3:00 p.m. This daytime availability is an important requirement for these in-person positions.

Lecture courses typically meet on multiple days each week, so applicants must be able to commit to a recurring weekday schedule for the full semester. Remote or hybrid teaching is not available for these pools. Hired candidates join the adjunct pool and may receive separate contracts for individual courses as needs arise. Pool appointment does not guarantee a course assignment.

Potential

teaching areas

Work Systems and Operations

Work systems, methods engineering, productivity, ergonomics, human factors, operations management, and related applied topics.

Manufacturing Systems and Automation

Modern manufacturing, manufacturing processes, production systems, manufacturing laboratories, smart manufacturing, robotics, programmable logic controllers (PLCs), and industrial automation.

Statistics, Modeling, and Analytics

Applied statistics, stochastic modeling, simulation, operations research, optimization, data analytics, and quantitative decision-making.

Quality and Continuous Improvement

Quality engineering, statistical process control, Lean, Six Sigma, process improvement, and continuous improvement.

Engineering Management and Decision-Making

Project management, engineering economics and financial decision-making, stakeholder relations, leadership, strategic management, engineering design, capstone, and industrial engineering electives.

Preferred qualifications

We particularly welcome practicing engineers and technical professionals who can bring current industry experience into the classroom. Prior college teaching is not required. Preferred candidates will have at least a master's degree in Industrial Engineering, Industrial Engineering Technology, Manufacturing Engineering, Systems Engineering, Engineering Management or a closely related field and approximately five or more years of relevant professional experience. These are preferred qualifications, not absolute minimums;

comparable combinations of advanced education, professional licensure, specialized expertise, industry experience, research, and teaching will be considered. Completion of the Fundamentals of Engineering (FE) exam, Engineer in Training (EIT) certification, and/or Professional Engineer (PE) licensure is a plus.

Application and employment requirements

Applicants must be legally authorized to work in the United States and able to accept employment with Alvernia University without current or future employer sponsorship.

Questions and inquiries

Prospective applicants may contact Dr. Joseph M. Mahoney, Chair of the John R. Post School of Engineering, oney with questions about the School, the adjunct pool, or potential teaching needs. Application materials must be submitted through ADP and should not be emailed.

Equal employment opportunity

Alvernia University is an equal-opportunity employer committed to Franciscan values. People of all faith backgrounds, as well as people with no faith affiliation, are welcome and encouraged to apply. All employees share responsibility for advancing a culture of care in the performance of their roles while demonstrating service orientation, respect for all, intellectual curiosity, solution focus and innovation, and mutual accountability.

Alvernia University strives to be a community supportive of diverse perspectives and identities.

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