Postdoctoral Research Associate

Texas A&M University System • Temple, TX

1d • Onsite

About The Position

The Postdoctoral Research Associate will contribute to the development and application of large-scale modeling frameworks for water resources, sediment load assessment, and land-use management. The position involves supporting hydrologic modeling research, including process-based simulations of hydrology and sediment transport, and contributing to the development of decision-support tools. The position will also develop and implement Python/R scripts to improve computational efficiency, automation, and reliability.

Requirements

• Ph.D. in Hydrology, Geology, Environmental Science/Engineering, Civil Engineering, or related disciplines with emphasis on surface hydrology, sediment transport and land use management.
• Demonstrated publication record in hydrological/water quality/sediment transport modeling and analysis.
• Interdisciplinary teamwork skills with researchers across different disciplines.
• Flexibility to perform work in a team or individually with supervision.
• Good communication, interpersonal skills, professionalism, and competency.
• Ability to multitask and work cooperatively with others.

Nice To Haves

• Experience with SWAT/SWAT+ models for watershed assessment and land-use management.
• Proficiency in programming or scripting languages such as Python, R, Fortran, or similar.
• Experience with remote sensing data analysis and geographic information systems (GIS).
• Familiarity with machine learning approaches and quantitative data analysis.
• Strong technical writing and communication skills.

Responsibilities

• Contribute to the development and application of large-scale modeling frameworks for water resources, sediment load assessment, and land-use management; prepare and process large datasets for national-scale assessments using SWAT/SWAT+.
• Support the analysis of sediment and turbidity data, remote sensing datasets (e.g., OpenET), within process-based modeling frameworks.
• Integrate machine learning and AI approaches with process-based models to improve calibration, particularly in ungauged watersheds.
• Collaborate within a multidisciplinary team, including USDA Forest Service scientists, AgriLife researchers, and other partners; participate in joint research activities and manage assigned tasks effectively.
• Perform other related duties as required.

Benefits

• Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Employee Wellness Initiative for Texas A&M AgriLife

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree