variability, and extreme weather events on water resources.

Essential Duties/Responsibilities:

• Develop, implement, and apply surface water, watershed, and flood models for hydrologic, hydraulic, and water quality analyses.
• Verify and validate hydrologic and hydraulic models using field observations, monitoring data, and historical flood events.
• Simulate watershed processes, including rainfall-runoff transformation, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport.
• Evaluate the impacts of land use change, climate variability, and extreme weather events on flooding, watershed hydrology, water quantity, and water quality.
• Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.

Preferred Experience, Knowledge, Skills & Abilities: Experience in numerical modeling of watershed hydrology, surface water systems, flood processes, and/or water quality. Experience in model calibration, verification, and validation using field, laboratory, and/or observational datasets. Experience in writing peer-reviewed scientific publications. Experience in scientific programming (e.g., FORTRAN, Python, R). Excellent oral, written, and presentation skills. Experience with CCHE numerical models is preferred.

Education: Ph.D. in Civil/Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

variability, and extreme weather events on water resources.

Essential Duties/Responsibilities:

• Develop, implement, and apply surface water, watershed, and flood models for hydrologic, hydraulic, and water quality analyses.
• Verify and validate hydrologic and hydraulic models using field observations, monitoring data, and historical flood events.
• Simulate watershed processes, including rainfall-runoff transformation, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport.
• Evaluate the impacts of land use change, climate variability, and extreme weather events on flooding, watershed hydrology, water quantity, and water quality.
• Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.

Preferred Experience, Knowledge, Skills & Abilities: Experience in numerical modeling of watershed hydrology, surface water systems, flood processes, and/or water quality. Experience in model calibration, verification, and validation using field, laboratory, and/or observational datasets. Experience in writing peer-reviewed scientific publications. Experience in scientific programming (e.g., FORTRAN, Python, R). Excellent oral, written, and presentation skills. Experience with CCHE numerical models is preferred.

Education: Ph.D. in Civil/Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.