<p>Summary of Position:<br />We are seeking a postdoctoral associate for a project on the accurate detection oak wilt using remote sensing methods at the University of Minnesota. The post doc will work as part of a collaborative team of plant ecophysiologists, pathologists and remote sensing experts. Oak wilt is an invasive fungal pathogen (Ceratocystis fagacearum) that is impacting forests in the United States and is an understudied agent of global change. Advances in remotely sensing the disease are critical to protecting North America’s most abundant and diverse woody genus.<br /><br />The post doc will be involved in 1) field work, including physiological measurements of trees and data collection using spectradiometers at the leaf and canopy level, 2) extensive data analysis, including hyperspectral image analysis, and 3) manuscript preparation. There will also be opportunities to contribute to the design and implementation of drought experiments in both the greenhouse and field. Strong statistical skills, ability to conduct rigorous field-work, GIS skills and spectral image processing capability are desired.<br /><br />Essential Functions:</p><ul><li>45% Field work and project management: including physiological measurements of trees and data collection using spectradiometers at the leaf and canopy level; management of undergraduates and other project participants</li><li>20% Data analysis: including statistical analysis of physiological and hyperspectral data; hyperspectral image analysis</li><li>35% Manuscript preparation</li></ul>
<p>Essential Qualifications PhD in remote sensing, physiological ecology or related field<br /><br />Preferred Qualifications: Strong statistical skills, ability to conduct rigorous field-work, GIS skills and spectral image processing capability are desired.</p>
Internal Number: 321871
About University of Minnesota, Twin Cities
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