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Postdoc in microwave remote sensing of leaf water potential/vegetation water content

Employer
Stanford University, Department of Earth System Science
Location
Palo Alto, California
Closing date
Dec 21, 2022

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Discipline
Biogeosciences, Global Environmental Change, Hydrology, Interdisciplinary/Other
Career Level
Postdoctoral
Education Level
PhD
Job Type
Full-time
Relocation Cost
Negotiable
Sector Type
Academia

The Remote Sensing Ecohydrology Group at Stanford University, led by Prof. Alex Konings is looking for a new postdoc. One of the main research threads in our group concerns the development and use of microwave remote sensing-based proxies of vegetation water content, which is expected to depend on leaf water potential. The vegetation water content proxies have been used for a range of applications related to vegetation water stress response.

The postdoc would work in one of three areas: a) building new retrieval algorithms to determine vegetation water content or leaf water potential from passive and active microwave remote sensing, using physically based and/or machine learning approaches, b) data assimilation of microwave observations into a plant hydraulics-enabled model or c) use of microwave remote sensing to gain process insight into plant-water coupling. Work in this last area is subject to the right fit between the specific questions of interest to the candidate and the group's funding.

If you have strong computational and communication skills and experience working with microwave remote sensing, retrieval of geophysical variables, data assimilation, plant hydraulics, and/or plant responses to water stress, you may be a great fit for this postdoc.  To apply, please send a cover letter and CV to Alex Konings at konings@stanford.edu. In your cover letter, please explain what aspects of the position you would be most excited to work on and why.  The pay is commensurate with experience, and is adjusted for the high cost of living in the Palo Alto, CA area where Stanford is located. An in-person appointment would be strongly preferred, although a partially remote position (if the candidate is based in the US) could be discussed. Applications will be reviewed as they are received. Please apply by January 10th, 2023 to receive full consideration.

Stanford University, including the Remote Sensing Ecohydrology group, is an equal opportunity employer and is committed to increasing the diversity of its staff. Our research group welcomes applicants from all backgrounds, and we are particularly interested in candidates from groups that are historically underrepresented in science.

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