ResearchOpportunity

The watershed hydrology research group in Duke University's Nicholas School of the Environment is looking for highly motivated PhD students in the field of hydrologic process interactions, snow distribution and melt processes, optimization and modeling. The projects in the research group seek to provide information on the interaction between climate, vegetation, land use, topography and hydro-geology on the spatio-temporal variability of surface and subsurface hydrologic processes (see http://tinyurl.com/ksmdx2f). The research group addresses these questions using a combination of experimental, theoretical, numerical and computational methods. Applicants interested in the position should have: (1) BS or MS degree in Engineering, Geosciences, Applied mathematics, Computer science or related fields. (2) Superlative knowledge of atleast one programming language, strong numerical modeling and/or computing skills, and excellent quantitative background. (3) Ability to articulate research objectives and hypotheses, strong verbal and written skills, and ability to work as part of a team. Please submit your pre-application package to Dr. Mukesh Kumar (mukesh.kumarATduke.edu), that includes a cover letter and curriculum vitae. Review of applications will begin immediately and the anticipated start date is in Fall, 2014. Note: If you have extremely good computing, quantitative and analytical skills, you will be preferred irrespective of your background.

The watershed hydrology research group in Duke University's Nicholas School of the Environment is looking for highly motivated PhD students in the field of hydrologic process interactions, snow distribution and melt processes, optimization and modeling. The projects in the research group seek to provide information on the interaction between climate, vegetation, land use, topography and hydro-geology on the spatio-temporal variability of surface and subsurface hydrologic processes (see http://tinyurl.com/ksmdx2f). The research group addresses these questions using a combination of experimental, theoretical, numerical and computational methods. Applicants interested in the position should have: (1) BS or MS degree in Engineering, Geosciences, Applied mathematics, Computer science or related fields. (2) Superlative knowledge of atleast one programming language, strong numerical modeling and/or computing skills, and excellent quantitative background. (3) Ability to articulate research objectives and hypotheses, strong verbal and written skills, and ability to work as part of a team. Please submit your pre-application package to Dr. Mukesh Kumar (mukesh.kumarATduke.edu), that includes a cover letter and curriculum vitae. Review of applications will begin immediately and the anticipated start date is in Fall, 2014. Note: If you have extremely good computing, quantitative and analytical skills, you will be preferred irrespective of your background.

The watershed hydrology research group in Duke University's Nicholas School of the Environment is looking for highly motivated PhD students in the field of hydrologic process interactions, snow distribution and melt processes, optimization and modeling. The projects in the research group seek to provide information on the interaction between climate, vegetation, land use, topography and hydro-geology on the spatio-temporal variability of surface and subsurface hydrologic processes (see http://tinyurl.com/ksmdx2f). The research group addresses these questions using a combination of experimental, theoretical, numerical and computational methods. Applicants interested in the position should have: (1) BS or MS degree in Engineering, Geosciences, Applied mathematics, Computer science or related fields. (2) Superlative knowledge of atleast one programming language, strong numerical modeling and/or computing skills, and excellent quantitative background. (3) Ability to articulate research objectives and hypotheses, strong verbal and written skills, and ability to work as part of a team. Please submit your pre-application package to Dr. Mukesh Kumar (mukesh.kumarATduke.edu), that includes a cover letter and curriculum vitae. Review of applications will begin immediately and the anticipated start date is in Fall, 2014. Note: If you have extremely good computing, quantitative and analytical skills, you will be preferred irrespective of your background.