Adjunct Faculty, ONLINE (HROM 530 – Modeling and Decision-Making, College of Business, Worldwide)
Job Description
Embry-Riddle: Celebrating 100 Years of Leadership in Aviation and Aerospace As Embry-Riddle Aeronautical University marks its Centennial, we proudly celebrate 100 years of advancing the future of flight and aerospace education. With vibrant residential campuses in Daytona Beach, FL, and Prescott, AZ — and a Worldwide network spanning nearly 120 global locations — Embry-Riddle stands as the world’s largest aviation and aerospace university. For a century, we have led innovation in STEM education, serving more than 30,000 students around the globe. Our cutting-edge programs in Applied Science, Aviation, Business, Technology, Engineering, Safety, Security, and Space empower the next generation of leaders to shape the future of flight, exploration, and discovery. As we launch our next century, we remain committed to excellence, innovation, and preparing graduates who will transform industries and redefine what is possible. The Opportunity: Embry-Riddle Aeronautical University’s Worldwide campus is currently hiring adjunct faculty to teach HROM 530 – Modeling and Decision-Making Online at our Worldwide Campus. Course Description Statistical techniques and decision-making tools for high-reliability organizations. Please note that ERAU policy requires that all adjuncts be physically located within the United States while working for the University, including during training. Presently, we are able to support work for new adjuncts from all U.S. states except California. ERAU does not support work from international locations with some limited exceptions for individuals who are residing and working from U.S. military bases. If selected for this role, the candidate will be required to provide proof of stated qualifications. This includes, but is not limited to, official transcripts, copies of professional licenses/certifications, documentation of military experience, and/or verified professional industry related experience.
Qualifications
Desired Professional Training or Experience: Specific industry, military or university training or experience in Management Information Systems, Computer Science, Business Intelligence, Business Analytics, Information Technology, Management Science, Quantitative Methods. Degrees Within the Teaching Discipline: Engineering Management Management Information Systems Computer Science Business Intelligence Management Science Quantitative Methods Business Analytics Related Discipline: Statistics Data Science Any Engineering Doctorate Data Mining Information Technology
- All applicants must have a minimum of 18 hours in discipline that directly relate to the material to be qualified.