Assistant Professor of Construction Engineering Management (AI-Driven Construction Technology and Automation)

Position: Assistant Professor of Construction Engineering Management (AI-Driven Construction Technology and Automation)
Effective Date: August 17, 2026 (Fall Semester)
Salary Range: The Assistant Professor (Academic Year) classification salary is $74,652 to $158,688/year; $6,221 to $13,224/per month (12 monthly payments per academic year). The anticipated hiring range is $103,000 to $106,000 annually, or $8583 to $8833 per month (12 monthly payments per academic year). Salary offered is commensurate with qualifications and experience.
Application Deadline: Review of applications to begin January 22, 2026. Position opened until filled (or recruitment canceled)

California State University, Long Beach (CSULB) is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI). CSULB earned the prestigious Seal of Excelencia in 2023, joining a distinctive group of colleges and universities who have been recognized for its commitment to Latine/x student success. CSULB is committed to serving diverse students and has established and actively supports the Black Excellence Collegium, dedicated to promoting Black excellence and advancing Black Student Success, and El Concilio for Latinx Success at the Beach, whose mission is to build capacity and promote inclusive servingness across initiatives and efforts for the benefit of all students. The President’s Equity and Change Commission is dedicated to achieving inclusive excellence in our community and culture and throughout the university. CSULB’s Beach 2030 University Action Plans prioritize engaging all students; expanding access to higher education; promoting intellectual achievement; building community; and cultivating resilience.                                               

College of Engineering
Department of Civil Engineering and Construction Engineering Management

 Required Qualifications:        

• Ph.D. in Civil Engineering, Construction Management, Construction Engineering, Architectural Engineering, or a closely related field. Degree at the time of application or official notification by August 1, 2026.
• B.Sc. degree in Civil Engineering, Construction Management, Construction Engineering, Architectural Engineering, or a closely related engineering field
• Specialization or research emphasis in AI-driven construction technology and automation, or a closely related field
• Demonstrated potential for contributing to the success of a diverse student population
• Demonstrated potential for excellence in teaching at the college level
• Demonstrated potential for successful research, scholarly, and creative activities
• Demonstrated commitment to working successfully with a diverse student population, including low socioeconomic and first-generation students          

Preferred Qualifications:                      

• At least two years of effective teaching experience in undergraduate and/or graduate-level courses in Civil Engineering, Construction Management, Construction Engineering, Architectural Engineering, and/or other related fields
• Record of successful development of a research program
• Demonstrated expertise in AI-driven construction technology and automation with a specialization in one or more areas, but not limited to, AI-driven project management and scheduling, machine learning for risk assessment and safety prediction, automation and robotics in construction processes, computer vision in the AEC industry, emerging technologies, predictive analytics, prefabrication and modular construction, sustainable design and construction, as well as digital twins and smart construction technologies
• Demonstrated commitment to issues of diversity, equity, and inclusion across teaching, scholarship, and service
• Experience in curriculum development
• Experience in student advising, mentoring, and supervision
• Postdoctoral research or professional experience in Civil Engineering, Construction Management, Construction Engineering, Architectural Engineering
• Registration or credentials such as a Professional Engineer (PE), Project Management Professional (PMP), etc.
• Potential for industry engagement and collaboration
• Experience successfully working with populations demographically and/or socioeconomically similar to the CSULB student body
• Experience mentoring or supporting students using inclusive and cul