This project focuses on high performance computational modeling of pollutant transfer in aquifers. Using high resolution models of diffusive-advective transport, you will identify the key parameters involved in controlling the flux of contaminants such as leachates, persistent organic pollutants, or heay metals near sites of contamination. The model will be used to predict observable signature of pollutant transport such as borehole measurements and 3D Electrical Resistivity Tomography maps.
The project requires understanding of partial differential equations, basic numerical modeling techniques, and working knowledge of Python. Previous experience with parallel programming or high performance computation is useful but not necessary.