industrial engineering. We seek innovative and inspirational scholars with a commitment to excellence in teaching, research, service, and engagement. The Department of Mechanical & Materials Engineering ( MME ) consists of approximately 30 tenured/tenure-track faculty, over 900 undergraduate students, and 100 graduate students. Recent investments in the College of Engineering include a new ~$80M research building and a new $120M teaching and learning building. UNL supports an outstanding system of central facilities housing state-of-the-art instrumentation and computation capabilities within the Nebraska Center for Materials and Nanoscience ( ncmn.unl.edu ), the Nebraska Nanoengineering Research Core Facility ( engineering.unl.edu/nercf ), Nebraska Engineering Additive Technologies (neatlabs.unl.edu), and the Holland Computing Center ( hcc.unl.edu ). Opportunities for collaborations across the University of Nebraska include the University of Nebraska Medical Center, the Nebraska Center for Energy Sciences Research, the National Strategic Research Institute ( NSRI ), the Nebraska Center for Materials and Nanoscience, the Center for Electro-Optics and Functionalized Surfaces, the Center for Brain, Biology, and Behavior, the Nebraska Athletic Performance Laboratory, the Midwest Roadside Safety Facility, Innovation Campus, and other state- and federally-funded research centers and programs. Minimum Required Qualifications: Ph.D. or equivalent in industrial engineering, mechanical engineering, or a closely related field. Record of strong scholarly achievement. Demonstrated commitment to excellence in undergraduate and graduate education. Potential to establish a strong externally funded research program Expertise to contribute to undergraduate and graduate degree programs, with particular focus on strengthening curriculum related to industrial engineering. Preferred Qualifications: Research areas of interest relate to the broad area of intelligent/advanced manufacturing, including but not limited to digital manufacturing and digital twins; sensing, process control, robotics and automation, qualification, and optimization; and supply-chain resilience and sustainability. AI/ML-enabled approaches in manufacturing research and education are of particular interest. Job Type: 9 Month
