This is a tenure-track position for an Assistant Professor in Mechanical Manufacturing + AI, focused on integrating AI and machine learning into manufacturing processes such as automation, optimization, and predictive maintenance.
Responsibilities include teaching undergraduate and graduate courses, developing research in smart manufacturing, Industry 4.0/5.0, and sustainability, and participating in service activities to support diversity and inclusion.
Candidates should have a doctoral degree in Mechanical or related engineering fields by August 2026, with expertise in AI applications in manufacturing.
Application materials include a cover letter, CV, teaching and research philosophies, and references.
The role aims to contribute to innovative research and teaching, supporting institutional goals within a collaborative, inclusive environment.