We seek a postdoctoral associate to lead data analysis and modelling efforts for ongoing watershed biogeochemistry and hydrology projects in the Watershed Science & Hydroecology Lab at Michigan State University. The postdoc will lead efforts to model and predict solute flux patterns across watersheds using large extant data sets and novel high-frequency stream sensor systems. The postdoc will ultimately apply their models to evaluate regional and global change impacts on water resources. The lab represents a rapidly growing multidisciplinary team examining the influence of changes in climate and land use on water resources and watershed nutrient and pathogen transport. Michigan State University represents a large and vibrant community for water research.
The position requires a Ph.D. by the start date of employment in ecosystem ecology, biogeochemistry, hydrology, environmental engineering, ecoinformatics, or related field. Preferred research skills and interests include demonstrated knowledge of mechanistic modeling, geospatial analysis, machine learning, statistical modeling, and time series analysis. Strong computer programming skills (especially MATLAB, Python, R and/or FORTRAN) are required. A record of publications and knowledge of biogeochemistry and catchment science is desired. We will begin reviewing applications on 1 December 2015, and the search will remain open until a suitable candidate is found. Start date is flexible in 2016. For more information on these research groups, please visit www.msu.edu/~jpz . To apply, please send letter of application detailing research interest and experiences, curriculum vitae, and names of 3 references (with telephone numbers and email addresses) to: Please direct applications and questions about the positions to Dr. Jay Zarnetske ([email protected] ). Michigan State University is and Equal Employment Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status or any other characteristic protected by law and University policy.
