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Penn State University · 1 month ago

Assistant Professor of Civil Engineering + AI

Penn State Harrisburg

Full-time

Onsite

Senior Level

Penn State University is a leading institution in education and research, and they are seeking an Assistant Professor of Civil Engineering with a focus on Artificial Intelligence. This tenure-track position involves teaching, research, and service in the areas of civil engineering and AI, contributing to the development of innovative courses and research initiatives.

Higher Education

Responsibilities

Teaching: The candidate will be expected to teach 6 credit hours per semester for the first two years and 9 credits per semester after the 2nd year. Teaching assignments may be reduced based on research productivity. Teaching responsibilities include undergraduate and graduate courses in Civil Engineering and Construction Engineering. Relevant topics may include but are not limited to construction scheduling, cost estimating, construction management principles, BIM, ethics in engineering and construction, value engineering, sustainable infrastructure including modern building materials, and/or smart cities technologies. Introduction of AI into many of these courses supports Penn State’s goal of producing AI literate students in all disciplines starting fall 2026

Faculty will be expected to teach in both the residential BS and MS degree programs in Civil Engineering and Structural Design and Construction Engineering Technology. Faculty also may be asked to teach in the engineering PhD program. Faculty also will be expected to participate in recruitment and retention activities, advise both undergraduate and graduate students, and supervise graduate student culminating experiences

Research: The candidate will contribute to our growing emphasis on smart cities, sustainability, and resilient infrastructure. This role will focus on AI-driven solutions in Building Information Modeling (BIM), construction automation, and digital twin technologies to achieve resilience. The successful candidate will have opportunities to support smart city initiatives, optimize energy usage in buildings, and reduce carbon emissions through intelligent systems. Collaboration across engineering, computer science, and environmental disciplines is encouraged to advance sustainable and resilient infrastructure

Service: Faculty are expected to serve on committees at the department, school, and college level so that the mission of the college and university are advanced. Professional service activities are supported and expected by all faculty. Faculty are also expected to actively promote and advance the school’s steadfast commitment to inclusive education and improve the range of voices in STEM to their professional and the regional community of south-central Pennsylvania

Qualification

AIMachine LearningConstruction EngineeringBuilding Information ModelingProject ManagementTeachingResearchService

Required

Candidates must have a doctoral degree by August 2026 in construction engineering, civil engineering, or a closely related field

The successful candidate will have a background in construction engineering with emphasis on the use of AI, Machine Learning, and/or other advanced technologies to address the challenges of construction regarding project scheduling, estimating, safety, building codes and contracts, construction economics, project management, ethics and professionalism, and/or building information modeling