The Department of Architectural Engineering at The Pennsylvania State University invites applications for a tenure-line faculty position at the Assistant or Associate Professor level in digital twins for the built environment. The position is based in University Park, Pennsylvania, and is associated with the Cocoziello Institute of Real Estate Innovation and the Institute for Computational and Data Sciences. The successful candidate may teach in one or more Architectural Engineering specialty areas and will contribute to Penn State efforts related to the built environment, data sciences, industrialized construction, and building energy systems. The successful candidate is expected to teach undergraduate and graduate courses across the Architectural Engineering curriculum; establish an internationally recognized, externally funded research program in digital twins and related technologies; and contribute service to the department, college, university, and profession. The candidate will also play a key role in interdisciplinary research collaborations, particularly with the Cocoziello Institute and the Institute for Computational and Data Sciences, and is expected to be a collaborative leader who promotes excellence and innovation in interdisciplinary research. Assistant Professor applicants must hold a Ph.D. in Architectural Engineering, Civil Engineering, Mechanical Engineering, Industrial Engineering, or a closely related field by the appointment start date; demonstrate ability as a teacher or researcher; and show definite evidence of growth in scholarly or professional achievement. Associate Professor applicants must meet those qualifications and provide evidence of an established reputation in scholarly or professional achievement. Applications are considered until the position is filled. Applicant screening begins December 6, 2026. Required materials include a cover letter, curriculum vitae, research statement, teaching statement, copies of three key publications, and names and addresses of four professional references. The application instructions specify combining materials other than the key publications into one PDF and the publications into a separate PDF. Employment requires successful completion of background check(s) in accordance with University policies.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree