Senior Modeler

Edwards Aquifer Authority

San Antonio, TX, United States 🇺🇸


Compiles and analyzes geologic and hydrologic data, performs computer modeling activities; develops, calibrates, and uses numerical groundwater and surface-water models to evaluate the effectiveness of water resource conservation measures and management strategies; identifies data and conceptual uncertainties and their overall importance to model results; estimate aquifer recharge from contributing watersheds and stream flow responses to rainfall events; provides feedback to Aquifer Science program regarding areas for further study to reduce model uncertainties; presents results of modeling and data analyses in written technical reports and presentations to management and stakeholder groups; uses geographic information systems to manage and evaluate geospatial data and to develop model input data sets; uses computer programming techniques assist in complex data analyses, processing raw data to suitable format for model inputs, and to automate batch model simulations; uses inverse parameter estimation optimization methods to assist in model calibrations and to evaluate and rank conceptual and parameter uncertainties.


Bachelor’s degree in geology, hydrology, engineering, or a closely related field; plus a minimum of five years of progressive responsibility; or Master’s degree plus a minimum of three years of relevant modeling experience; or a Ph.D. plus one year of experience with research focus on numerical hydrologic modeling; mastery of advanced concepts, principles, and practices of groundwater hydrology and numerical modeling of groundwater and surface-water systems; advanced experience with MODFLOW groundwater modeling software and user interfaces (Groundwater Vistas experience is a plus); experience using geographic information systems to create and manage geospatial data sets used in model development; experience in programing techniques (e.g., Python, C++, Fortran, Visual Basic) to process, analyze, and format data for model input, and to automate batch model runs; experience with inverse parameter estimation methods (PEST software experience is a plus); a desire to research and develop advanced modeling techniques in a collaborative team setting; ability to explain complex technical aspects in non-technical terms to the public; strong research and analytical skills; effective oral, written, time management and organizational skills; ability to exercise initiative, independent judgment and responsibility; valid driver’s license; and ability to operate a motor vehicle.