Assistant Professor - Advanced Manufacturing

University of Nebraska-Lincoln; Lincoln (NE); On-site; USD 90,000 - 120,000; Full time

Job summary

The University of Nebraska-Lincoln's Department of Mechanical & Materials Engineering invites applications for a tenure-track Assistant Professor position in Advanced Manufacturing. The successful candidate will develop an internationally recognized research program and support a new undergraduate degree in industrial engineering.

We seek scholars with a commitment to teaching, research, service, and engagement, and with potential to secure external funding.

Qualifications

• Ph.D. in industrial engineering, mechanical engineering, or a closely related field.
• Record of strong scholarly achievement.
• 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 focus on strengthening curriculum related to industrial engineering.

Responsibilities

• Develop an internationally recognized research program in advanced manufacturing.
• Support a new undergraduate degree program in industrial engineering.
• Engage in teaching, research, service and engagement across the university.

Skills

Scholarly excellence

Teaching commitment

Grant potential

Curriculum development

Education

Ph.D. in industrial or mechanical engineering

Tools

Simulation software

AI/ML tools

Job description

Working Title Assistant Professor - Advanced Manufacturing

Department Mechanical & Materials Engineering-1067

Description Of Work

The Department of Mechanical & Materials Engineering ( https://engineering.unl.edu/mme ) at the University of Nebraska-Lincoln ( UNL ) invites applications for a tenure-track faculty position at the Assistant Professor level. The successful candidate is expected to develop an internationally recognized research program in advanced manufacturing and support a new undergraduate degree program in 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.