Lecturer, Industrial and Systems Engineering

About the role

The Fitts Department of Industrial and Systems Engineering (ISE) invites applicants for a Lecturer position. The primary role of the Lecturer will be to deliver high-quality undergraduate and/or graduate instruction for the department, supporting teaching needs during the spring, fall, and/or summer sessions of 2024-2025. Teaching emphasis will be on courses in manufacturing, supply chain management, and computing, as well as specialized topics in sustainability, artificial intelligence, cybersecurity, or engineering management.

Applicants are encouraged to specify courses within the department’s curriculum they are qualified to teach or propose special topics relevant to their expertise.

Responsibilities

• Deliver engaging course content for both undergraduate and graduate students, ensuring alignment with departmental and institutional goals.
• Prepare course materials, assignments, and assessments, fostering a challenging yet supportive learning environment.
• Provide academic support and guidance to students.
• Collaborate with department faculty to review and update curriculum materials as needed to reflect current industry trends.
• Utilize various instructional methods and technologies to support a range of learning styles and backgrounds.
• Participate in department meetings and contribute to curriculum planning and development initiatives.

Qualifications

• Minimum Education and Experience: Minimum of a Master’s degree in Industrial Engineering, Operations Research, Computer Science, Statistics, Manufacturing, or a closely related field, along with relevant professional experience, an equivalent degree, or equivalent professional experience.
• For teaching graduate and post-baccalaureate courses: A doctorate degree in the same or a related field.

• Other Required Qualifications: Strong foundational knowledge in industrial and systems engineering or related fields. Proficiency in delivering course content on manufacturing, supply chain management, computing, or specialized topics like sustainability and AI. Demonstrated ability to communicate complex concepts clearly, both verbally and in writing. Effective use of instructional technology and innovative teaching practices.

• Preferred Qualifications: Demonstrated commitment to excellence in teaching. Excellent verbal and written communication skills. Experience in teaching at the college or university level in industrial engineering, operations research, computer science, statistics, manufacturing, ergonomics, or a related field.

• Required License(s) or Certification(s): N/A
• Valid NC Driver's License required: No
• Commercial Driver's License required: No