Tenure-Track: Water Resources & Flood Forecasting Expert

The University of Texas at Arlington; Arlington (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

The University of Texas at Arlington invites 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, AI, and resilient infrastructure systems.

The successful candidate will lead externally funded research programs, publish in high‑impact journals, teach undergraduate/graduate courses, mentor students, and contribute to the Water

Qualifications

• Earned Ph.D. in Water Resources Engineering, Civil/Environmental Engineering, Hydrology, or a closely related field by the start date.
• Demonstrated potential for developing an independent, externally funded research program.
• Evidence of peer‑reviewed scholarly publications and strong communication skills.
• Knowledge of Texas water resources, flood forecasting, and related topics.

Responsibilities

• Establish a high‑impact, externally funded research program in water resources and hydrology.
• Advance research in urban flooding, flood forecasting, radar/satellite precipitation, and hydroinformatics.
• Develop real‑time/operational flood information systems and decision‑support tools.
• Teach undergraduate and graduate courses in hydrology, water resources systems, and GIS/remote sensing.
• Mentor MS/PhD students and collaborate with agencies and stakeholders.

Skills

Computational background

Texas water resources knowledge

Peer‑reviewed publications

Education

Ph.D. in Water Resources Engineering or related field

Tools

HEC‑HMS/HEC‑RAS

MODFLOW

SWMM/XP‑SWMM

RiverWare

ArcGIS

Job description

The University of Texas at Arlington invites 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, AI, and resilient infrastructure systems.

The successful candidate will lead externally funded research programs, publish in high‑impact journals, teach undergraduate/graduate courses, mentor students, and contribute to the Water