Assistant Professor Bookmark this Posting Print Preview | Apply for this Job Please see Special Instructions for more details. To apply, applicants should go to https://uta.peopleadmin.com/postings/33564 and submit the following materials:Required Documents:Curriculum VitaeCover Letter describing research vision, teaching interests with demonstrated suitability for the positionStatement of Research Interests (2-3
pages) including funding strategy and partnershipTeaching statement (1–2 pages)Names and contact information for 3-5 referencesReview of applications will begin immediately and will continue until the position is filled. Applicants are encouraged to apply early for the best consideration.Questions may be addressed to Dr. Stephen Mattingly at mattingly@uta.edu.For more information about UTA, please visit:
http://www.uta.edu/uta. Posting Details Position Information Posting Number F00739P Position Title Assistant Professor Department Civil Engineering Location Arlington Job Family Faculty Position Status Full-time Rank Tenure-track Work Hours Standard Open to External and Internal FLSA Exempt Duration Job terminates Pay Basis Monthly Benefits Eligible Yes Job Summary The Civil Engineering Department and the Water
Engineering Research Center (WERC) in College of Engineering at the University of Texas at Arlington invite applications for a tenure-track Assistant Professor in water resources engineering with an emphasis on modeling-based hydro informatics, flood forecasting/early warning, urban flooding, radar/satellite precipitation, Artificial Intelligence, and resilient infrastructure systems. The successful candidate will be
expected to lead externally funded research programs, secure sustainable research fundings, publish in high-impact journals, teach undergraduate/graduate courses, mentor students, and contribute to the WERC. The ideal candidate is expected to demonstrate a track record of advanced hydrologic and hydraulic modeling, integrating radar/satellite precipitation, and data-driven methods to deliver actionable tools for
flood resilience—such as cloud-based flood forecasting, inundation mapping, and operational early warning systems—and will expand these capabilities through interdisciplinary research in remote sensing, GIS/GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational decision-support systems for agencies and communities
Summary from the source posting. Always confirm details on the institution's official career page.