Postdoctoral Research Associate - National Center for Computational Hydroscience and Engineerin[...]

University of Mississippi; Mississippi; Sur place; USD 80 000 - 110 000; Plein temps

Résumé du poste

The University of Mississippi seeks a PhD-level researcher to develop and validate advanced numerical models for watershed hydrology, surface water systems, flooding, and water quality.

You will implement, calibrate, and verify models; simulate rainfall-runoff, streamflow routing, flood inundation, sediment transport, and pollutant fate; and assess impacts from land use, climate variability, and extreme weather on water resources.

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 (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.

Responsabilités

• 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.

Connaissances

Numerical modeling

Model calibration

Peer-reviewed publications

Scientific programming

Oral and written communication

CCHE models

Lab/field experiments

Computational tool development

Formation

PhD in Civil/Environmental Engineering

PhD (Required)

Description du poste

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 include developing, implementing, calibrating, verifying, and validating hydrologic and hydraulic models; 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.

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. Strong written, verbal, and presentation skills are essential. Experience with CCHE numerical models, laboratory or field research, and scientific software or computational tool development is preferred.

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

• 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.
• PhD (Required)
• This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.
• Applicants are requested to attach a Resume/CV with their application.

Interview Requirement

Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement

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.

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.