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 interdisciplinary research team.

Initial appointment is for one year from the date of hire, with the possibility of extension for up to two years, contingent upon funding availability and satisfactory performance.

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