Staff Openings

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

University, MS · Contract

Sponsorship not specifiedDetected 11 days ago

PythonComputer VisionForecastingResearch

About the role

simulating watershed processes such as rainfall-runoff, streamflow routing, flood inundation, sediment transport, and pollutant fate and transport
and evaluating the impacts of land use change, climate variability, and extreme weather events on water resources.

The position also supports the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.
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.
Support the development of computational tools and decision-support systems for flood forecasting, watershed planning, and water resources management.

The PhD degree should be already received or about to be received at the end of the current semester.
The ideal candidate will have experience in hydrologic and hydraulic modeling, model calibration and validation using field and observational data, scientific programming, and publishing peer-reviewed research.

Experience with CCHE numerical models, laboratory or field research, and scientific software or computational tool development is preferred.
Preferred Experience, Knowledge, Skills & Abilities:
Experience in laboratory and/or field experimental studies related to hydrology, hydraulics, watersheds, flooding, or water quality is preferred.

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 computer systems development, scientific software development, or computational tool development is preferred.
Strong written, verbal, and presentation skills are essential.

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction.
We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons.
The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any

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