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The University of South Carolina invites applications for a full-time, open-rank tenure-track or tenured faculty position in Water Resources Engineering. The department seeks a scholar who develops computational, sensing, data-driven, and AI approaches to advance resilient infrastructure. The candidate should hold a Ph.D.
in civil engineering by start date and demonstrate teaching potential. The successful hire will contribute to undergraduate and graduate programs, pursue external funding, and
Department: CEC Civil and Environmental Engineering
Part/Full Time: Full Time
Advertised Salary Range: To commensurate with qualifications
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.
The Department of Civil and Environmental Engineering in the Molinaroli College of Engineering and Computing at the University of South Carolina in Columbia, S.C., seeks applicants for a full-time, open-rank tenured or tenure-track faculty position to begin in the Fall 2027 academic year. We seek a scholar in water resources engineering who develops and applies advanced computational, sensing, data-driven, and/or artificial intelligence approaches to advance resilient and sustainable infrastructure systems. Applicants should hold a Ph.D. in civil engineering or a closely related field by the start date of employment, with a demonstrated record of research accomplishments and a strong capacity for teaching undergraduate and graduate courses. Senior-level applicants must also demonstrate sustained excellence in teaching and research, including competitive external funding, national and international service, and interdisciplinary collaboration. The ideal candidate will develop an internationally recognized, externally funded research program focused on tools for water management, including real-time flood forecasting, digital twinning of hydraulic and hydrologic systems, predictive modeling of hydrologic extremes, and strategic water use to support economic development (e.g., water use for data centers and other industrial facilities). This work will discover new knowledge and develop tools for infrastructure planning under hydrologic hazards such as coastal and flash floods relevant to South Carolina. This position complements the department's strengths in water resources engineering and contributes to our broader focus on intelligent and sustainable infrastructure. The successful candidate will have opportunities to collaborate with researchers across the college and the University's AI Institute engaged in smart infrastructure and digital twins. Candidates will be expected to teach in the department's undergraduate and graduate programs.
Applicants should hold a Ph.D. in civil engineering or a closely related field by the start date of employment and have a demonstrated record of research accomplishments. Applicants for the rank of Associate Professor and Full Professor must also have years of relevant academic experience commensurate with academic policy, a sustained record of excellence in teaching and research, competitive external funding, national and international service, and interdisciplinary collaboration.
Successful candidates will be expected to establish internationally recognized, externally funded research programs on water resources engineering applied to civil infrastructure.
The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.