We are seeking two independent and motivated M.S. students to work on spatial modeling to predict soil physical and chemical properties. In recent decades, digital soil mapping (DSM) methods have been actively used to study and map soils and their properties. Soil properties such as the ratios of carbon, nitrogen, and phosphorus are among the most direct indicators of the growth and sustainable development of forests. This research project involves the sampling and analysis of soils from green-tree reservoirs in the Lower Mississippi Alluvial Valley, with subsequent modeling using various DSM techniques to develop a robust approach capable of estimating soil properties at unsampled locations.
Applicants must have a 2.7 overall undergraduate GPA or 3.0 GPA in the last 60 semester hours of undergraduate courses and satisfactory GRE scores. A B.S. degree in a natural resources-related field is also required. Applicants must have a valid U.S. driver’s license or obtain the same within 60 days of starting employment. Overnight travel is required as well as the ability to work outdoors in all weather conditions.