TENURE-TRACK-Department of Architectural Engineering, Assistant or Associate Professor in Digital Twins for the Built Environment

The Pennsylvania State University•University Park, FL

12d•Onsite

About The Position

The Department of Architectural Engineering at Pennsylvania State University, in collaboration with the Cocoziello Institute of Real Estate Innovation and the Institute for Computational and Data Sciences, invites applications for a tenure-line faculty position at the Assistant or Associate Professor level focused on digital twins for the built environment. The position is based in University Park, Pennsylvania. The successful candidate may teach in any or multiple Architectural Engineering specialty areas and will contribute to Penn State’s work in the built environment, data sciences, industrialized construction, and building energy systems. The Department of Architectural Engineering offers undergraduate and graduate degree programs and conducts research in construction engineering and management, structural systems, building mechanical systems, lighting and electrical systems, and emerging digital technologies. The Cocoziello Institute supports interdisciplinary research through collaborators, industry and government partners, proposal-development support, applied research opportunities, Living Laboratory projects and testbeds, and seed funding. The Institute for Computational and Data Sciences supports interdisciplinary work through advanced cyberinfrastructure, research collaborators, seed funding, research development services, training, and external partnerships. The successful candidate is expected to teach undergraduate and graduate courses across the Architectural Engineering curriculum; develop an internationally recognized, externally funded research program in digital twins and related technologies; and provide service to the department, college, university, and profession. The candidate will also take a key role in interdisciplinary research collaborations, particularly with the Cocoziello Institute and the Institute for Computational and Data Sciences, and promote excellence and innovation in interdisciplinary research. Assistant Professor candidates 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 candidates must meet the same qualifications and provide evidence of an established reputation in scholarly or professional achievement. Applications are considered until the position is filled, with applicant screening beginning December 6, 2026. Applicants must submit a cover letter (maximum two pages), curriculum vitae, research statement (maximum three pages), teaching statement (maximum two pages), copies of three key publications, and names and addresses of four professional references. Due to system limits, application materials other than the key publications should be combined into one PDF, with publications compiled into a separate PDF. Employment requires successful completion of background checks in accordance with University policies.

Requirements

Ph.D. in Architectural Engineering, Civil Engineering, Mechanical Engineering, Industrial Engineering, or a closely related field by the appointment start date.
Demonstrated ability as a teacher or researcher.
Definite evidence of growth in scholarly or professional achievement for Assistant Professor candidates.
Evidence of an established reputation in scholarly or professional achievement for Associate Professor candidates.
Collaborative leadership to promote and enhance excellence and innovation in interdisciplinary research.

Responsibilities

Teach courses at undergraduate and graduate levels across the Architectural Engineering curriculum.
Develop an internationally recognized, externally funded research program in digital twins and related technologies.
Contribute service to the department, college, university, and profession.
Take a key role in interdisciplinary research collaborations, particularly with the Cocoziello Institute of Real Estate Innovation and the Institute for Computational and Data Sciences.
Promote and enhance excellence and innovation in interdisciplinary research.