Postdoctoral Hydrologic Modeling & Flood Forecasting

University of Mississippi; Maine; On-site; USD 95,000 - 130,000; Full time

Job summary

The University of Mississippi invites applications for a research-focused position to develop and apply numerical hydrology models, analyze watershed processes, and support flood forecasting and water resources planning.

The ideal candidate will hold a PhD, have experience in model calibration and validation, scientific programming (Fortran, Python, R), and a strong record of peer‑reviewed publications. Familiarity with CCHE models is preferred and strong communication skills are essential.

Qualifications

• 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 (FORTRAN, Python, R).

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 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 development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.

Skills

Numerical modeling

Hydrologic modeling

Scientific programming

Python

R

FORTRAN

Education

PhD in Civil/Environmental Engineering

Tools

CCHE

FORTRAN

Job description

The University of Mississippi invites applications for a research-focused position to develop and apply numerical hydrology models, analyze watershed processes, and support flood forecasting and water resources planning.

The ideal candidate will hold a PhD, have experience in model calibration and validation, scientific programming (Fortran, Python, R), and a strong record of peer‑reviewed publications. Familiarity with CCHE models is preferred and strong communication skills are essential.