Assistant Professor/Associate Professor

The University of Texas at Arlington; Arlington (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

The University of Texas at Arlington invites applications for a tenure-track Assistant Professor or a tenured Associate Professor in Construction Engineering and Management. We seek candidates with expertise in emerging technologies such as construction robotics, autonomous systems, human–robot interaction, and construction automation.

The successful candidate will establish an externally funded research program, collaborate across the College of Engineering, and contribute to undergraduate and

Qualifications

• PhD in civil engineering or closely related field.
• Strong commitment to research and teaching excellence with applied impact.

Responsibilities

• Conduct externally funded research and publish outcomes.
• Teach undergraduate and graduate courses.
• Develop curricula and courses in construction engineering.
• Collaborate with faculty and engage in professional service.

Skills

Construction robotics

Autonomous construction systems

Human–robot interaction

Construction automation

Applied research

Education

PhD in civil engineering or closely related field

Job description

Job Summary

The Department of Civil Engineering in the College of Engineering at The University of Texas at Arlington invites applications for a tenure-track Assistant Professor or tenured Associate Professor position in Construction Engineering and Management. We are particularly interested in candidates with expertise in emerging technologies in construction, including construction robotics, autonomous construction systems, human–robot interaction, construction automation, and other advanced construction technologies.

The successful candidate is expected to establish a strong, externally funded research program, develop interdisciplinary collaborations within and beyond the College of Engineering, and contribute to advancing construction engineering and management through innovative technologies. The candidate will also be expected to contribute to undergraduate and graduate teaching, advise graduate students, and participate in professional and university service. Candidates whose research can strengthen UTA’s capabilities in emerging construction technologies and enhance the efficiency, safety, productivity, and sustainability of the construction industry are particularly encouraged to apply.

In accordance with USCIS regulations, successful applicants must be legally able to accept work in the United States. Visa sponsorship is considered on an exception-only basis and is not routinely available.

Required Qualifications

A PhD in civil engineering or a closely related field is required. Candidates with doctoral degrees in disciplines other than civil engineering must demonstrate a strong understanding of and experience with civil infrastructure systems. Candidates should also show a commitment to achieving the highest standards of research and teaching excellence, with a focus on applied research that produces tangible impacts.

Preferred Qualifications

A demonstrated research record in emerging construction technologies, such as construction robotics, autonomous construction systems, human–robot interaction, construction automation, and other advanced construction technologies. Candidates with a strong record of interdisciplinary research and the ability to develop innovative solutions that improve construction productivity, safety, efficiency, and sustainability are particularly desirable. Additional preferred qualifications include experience teaching undergraduate and graduate courses at an R-1 institution, mentoring undergraduate and graduate students, a successful track record of securing competitive research funding from federal agencies and industry, and multiple years of practical experience in the construction industry.

Essential Duties And Responsibilities

The candidate is expected to conduct high-quality, externally funded research, teach, provide professional service, and develop both independent areas of expertise as well as engage in joint research. The successful candidate will also be expected to contribute to the development of curricula and courses in this critical field. Strong and productive collaboration with faculty in this area will be a key expectation.