Postdoctoral Research Associate - National Center for Computational Hydroscience and Engineering (NCCHE)

Job Summary

The successful candidate will conduct research and develop advanced numerical models to analyze watershed hydrology, surface water systems, flooding, and water quality.

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.

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 (both technical and non-technical).
• Experience with CCHE numerical models is preferred.
• Experience in laboratory and/or field experimental studies related to hydrology, hydraulics, watersheds, flooding, or water quality is preferred.
• Experience in computer systems development, scientific software development, or computational tool development is preferred.

Education

• PhD in Civil/Environmental Engineering, Environmental Science, Atmospheric Science, Earth Science, or a closely related discipline.

Background Check Statement

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.