JOB TITLE Assistant Teaching Professor LOCATION Worcester DEPARTMENT NAME Civil, Environmental, & Architectural Engineering DIVISION NAME Worcester Polytechnic Institute - WPI JOB DESCRIPTION SUMMARY The Department of Civil, Environmental, and Architectural Engineering (CEAE) at Worcester Polytechnic Institute (WPI) invites applications for a full-time Assistant Teaching Professor in intelligent construction and
infrastructure systems with a broad focus on sensing, automation, and computational technologies that are reshaping how civil infrastructure is built, monitored, managed. The scope of interest spans the full asset lifecycle: robotics and automation on the construction site, uncrewed aerial systems and reality capture, instrumented and self-sensing structures, digital twins, and data-driven approaches to inspection,
condition assessment, and asset management. Construction faces persistent labor shortages and schedule/cost pressure, while existing infrastructure stock ages and decarbonization pressures become more urgent. WPI seeks an educator who can prepare civil, architectural, and construction engineering students to work fluently with the technologies now being deployed against those problems and who will build a
distinctive, hands-on curriculum and laboratory experience around them. This is a career-track teaching appointment with a clear path for promotion to Associate Teaching Professor and Teaching Professor. Teaching faculty at WPI are full voting members of the faculty and play a central role in curricular leadership. JOB DESCRIPTION Responsibilities: Teach undergraduate and graduate courses in areas such as
construction automation and robotics; UAS and reality capture; sensing, instrumentation, and structural health monitoring; digital twins and BIM-integrated workflows; applied machine learning and computer vision for the built environment; and data-driven infrastructure asset management, scheduling, cost, productivity, and safety analytics. Develop new courses and laboratory modules that give students direct
experience with robotic platforms, drones, sensing hardware, field data collection, and modern computational tools. Advise and mentor students in WPI’s project-based curriculum, including Major Qualifying Projects (MQP), Interactive Qualifying Projects (IQP), and graduate capstone work. Contribute to the design and stewardship of laboratory, maker, and field-testing facilities supporting instrumented and automated
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