Two post-doctoral research scholar positions are available in the Department of Land, Air, and Water Resources at the University of California, Davis, to work development of yield prediction models and remote sensing strategies for California's almond orchards. Research areas include, but are not limited to, 1) using various airborne and satellite resources to estimate tree growth, tree health, crop productivity, flowering etc., 2) build statistical yield prediction models by integrating historical and current yield data, remote sensing metrics, field measurements and environmental layers, and 3) using remote sensing to estimate and predict agricultural water demand and use.
It is not expected that a single applicant will have all of these skills however the applicant should be willing to work with the team collaboratively to address the overall project needs.
Applicants should have a doctoral degree in a relevant discipline. Successful candidates must have experience in satellite remote sensing algorithm development and applications in agriculture or natural ecosystems. Ideally the candidates would have strong programming and GIS skills, such as R, Matlab, Python, and QGIS/ArcGIS, and strong data analytic skills such as machine learning. Knowledge of agriculture is beneficial but not essential. Salary is commensurate with experience. Appointments will be for an initial period of one year with the likelihood of extension for additional years.
Questions about the position and applications should be sent to Dr. Yufang Jin (email@example.com). Formal applications should include a cover letter describing your research experience and interests, a curriculum vita, PDF copies of selected publications, and the names of three references.
The University of California, Davis is an equal opportunity employer committed to excellence through diversity.