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 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.

Qualifications: To be considered for the Assistant Professor in Civil Engineering, candidates should possess the following qualifications:

Education: Candidates must have an earned doctorate by the appointment start date in construction engineering, civil engineering, or a closely related field.

Expertise: The successful candidate will have a background in construction engineering, 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, or building information modeling.

Application Process: To apply for the Assistant Professor in Civil Engineering, please visit Penn State's Human Resources website hr.psu.edu/careers and submit the following documents:

Cover Letter: The cover letter should include the candidate's interest in the position, a brief summary of their qualifications, and how they have incorporated inclusive excellence in their educational experiences.

Curriculum Vitae: The curriculum vitae should highlight the following: the candidate's education, teaching, professional experience, research, and service to their prior educational institutions, their communities, and the profession.

Teaching Philosophy: Candidates must submit a statement of teaching philosophy that highlights past experience and future plans for their teaching and that addresses their strategies for promoting inclusive excellence in the classroom.

Research Philosophy: Candidates must submit a statement of research philosophy that addresses research interest, past accomplishments and future goals with emphasis on the use of AI in construction engineering and management.

Professional References: Candidates must submit a list of three professional references with contact information.

System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit.

Review of applications will begin immediately and continue until the position is filled. For additional questions, please contact: Dr. Sofia Vidalis, Search Chair, at smv11@psu.edu.

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 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.

Qualifications: To be considered for the Assistant Professor in Civil Engineering, candidates should possess the following qualifications:

Education: Candidates must have an earned doctorate by the appointment start date in construction engineering, civil engineering, or a closely related field.

Expertise: The successful candidate will have a background in construction engineering, 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, or building information modeling.

Application Process: To apply for the Assistant Professor in Civil Engineering, please visit Penn State's Human Resources website hr.psu.edu/careers and submit the following documents:

Cover Letter: The cover letter should include the candidate's interest in the position, a brief summary of their qualifications, and how they have incorporated inclusive excellence in their educational experiences.

Curriculum Vitae: The curriculum vitae should highlight the following: the candidate's education, teaching, professional experience, research, and service to their prior educational institutions, their communities, and the profession.

Teaching Philosophy: Candidates must submit a statement of teaching philosophy that highlights past experience and future plans for their teaching and that addresses their strategies for promoting inclusive excellence in the classroom.

Research Philosophy: Candidates must submit a statement of research philosophy that addresses research interest, past accomplishments and future goals with emphasis on the use of AI in construction engineering and management.

Professional References: Candidates must submit a list of three professional references with contact information.

System limitations allow for a total of 5 documents (5mb per document) as part of your application. Please combine materials to meet the 5-document limit.

Review of applications will begin immediately and continue until the position is filled. For additional questions, please contact: Dr. Sofia Vidalis, Search Chair, at smv11@psu.edu.