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

California State University System•Long Beach, CA

46d

About The Position

CSULB seeks to recruit faculty who enthusiastically support the University's strong commitment to the academic success of all of our students, including students with disabilities, students who are first generation to college, veterans, students with diverse socio-economic backgrounds, and students of diverse sexual orientations and gender expressions. CSULB seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the People of California, to maintain the excellence of the University, and to offer our students a rich variety of expertise, perspectives, and ways of knowing and learning. Information on excellent benefits package available to CSULB faculty is located here: CSU Employee Benefits

Requirements

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

Nice To Haves

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 culturally relevant teaching strategies in a diverse classroom

Responsibilities

Teach undergraduate and graduate courses in Construction Management, Construction Engineering, and/or Civil Engineering (Mode of instruction may include in-person, hybrid, online, and/or any combination thereof.)
Contribute to diversity and equity in education through scholarship, teaching, and/or service including advising, and mentoring students from diverse backgrounds
Develop and update curriculum including new and existing courses related to the area of expertise
Maintain and engage in research and other scholarly activities related to the area of expertise leading to publications and presentations
Organize and supervise research facilities
Advise and mentor students
Participate in service to the department, college, university, and community