APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please
do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants . Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . POSITION SPECIFICS Position: Assistant Professor of Civil
Engineering with Artificial Intelligence and Machine Learning Enabled Construction Engineering Position Summary: Civil engineering is being transformed by AI and machine learning to improve construction and operation of both horizontal and vertical infrastructure. As a part of a cluster hire, this tenure-track position will play a leading role in the transformation of the construction engineering courses and research
within the Civil, Construction, and Environmental Engineering program at Penn State Harrisburg. The successful candidate will contribute to our efforts to create a welcoming and inclusive learning environment for students, foster robust, collaborative research, and engage in service activities supporting institutional goals. Responsibilities: The primary responsibilities of the Assistant Professor in Civil
Engineering include the following: 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 construction
scheduling, cost estimating, construction management principles, BIM, ethics in engineering and construction, value engineering, sustainable infrastructure including modern building materials, and 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
Summary from the source posting. Always confirm details on the institution's official career page.