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Postdoctoral Scholar of Agriculture And Nat Resources - Fixed Term

Michigan State University  ·  Of Agriculture And Nat Resources  ·  East Lansing, MI
PostdoctoralNon-TenureAgriculture And Nat Resources

Position summary

Postdoctoral Scholar-Fixed Term East Lansing, Michigan, United States Water Research Institute Anr 10002916 Area of Interest: Agriculture Area of Interest: Engineers/Architects Area of Interest: Research/Scientific Full Time/Part Time: Full Time (90-100%) Group: Fixed Term Academic Staff Union/Non-Union: Non-Union Faculty/Academic Staff Opening on: Sep 3 2026 Closing at: Sep 3 2028 - 23:55 EDT Salary Commensurate

with Experience College Of Agriculture And Nat Resources 1155644 Working/Functional Title Postdoctoral Scholar Position Summary The Institute of Water Research is seeking a Postdoctoral Scholar with deep, hands-on expertise in the Water Quality Analysis Simulation Program (WASP). The primary responsibility of this position is to work directly with WASP's computational structure and water-quality and

contaminant-transport processes and to integrate WASP with SWAT and MODFLOW. Exceptional Fortran programming expertise is essential and will be a major selection criterion. The selected candidate must be able to read, understand, modify, extend, compile, debug, test, optimize, and document complex scientific Fortran code and use these capabilities to develop stable coupling interfaces among WASP, SWAT, and MODFLOW.

The integrated framework should support synchronized simulation time steps and spatial exchanges and enable transfer of surface-water flows, watershed inflows, groundwater-surface-water exchanges, constituent loads and concentrations, contaminant mass fluxes, and other required state or flux variables among the three models. Particular emphasis will be placed on bidirectional coupling and feedback where needed for

physically consistent flow and contaminant transport, rather than relying solely on sequential or one-way model execution. The candidate will maintain water and contaminant mass balance across model interfaces; develop preprocessing, postprocessing, automated testing, calibration, and visualization workflows; and conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and

troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance or parallel computing is desirable. The candidate will also prepare technical documentation, reports, peer-reviewed publications, and presentations and collaborate with an

Summary from the source posting. Always confirm details on the institution's official career page.

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