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California State University, Long Beach · 20 hours ago

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

Long Beach, CA

Full-time

Onsite

Mid, Senior Level

2+ years exp

California State University, Long Beach is seeking an Assistant Professor of Construction Engineering Management specializing in AI-driven construction technology and automation. The role involves teaching undergraduate and graduate courses, contributing to diversity and equity in education, and maintaining an active research agenda.

EducationHigher EducationUniversities

No H1B

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

Qualification

Ph.D. in Civil EngineeringAI-driven construction technologyTeaching experienceResearch program developmentProfessional Engineer (PE)Project Management Professional (PMP)DiversityInclusion commitmentCurriculum developmentStudent advisingMentoring experience

Required

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

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