Postdoc opportunity

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 depends on live fuel moisture  (which, in turn, is expected to co-vary with plant water potential) as well as vegetation structure and biomass and temperature. Disentangling live fuel moisture’s effect on VOD would enable a range of applications related to understanding vegetation’s response to water stress.

The postdoc would work to build new retrieval algorithms to determine live fuel moisture content (which is related to leaf water potential) from L-band SMAP observations, spaceborne lidar (to account for biomass effects), and additional supplementary data. The project could use either physically based and/or machine learning approaches (e.g. transfer learning). 

If you have strong computational and communication skills and experience working with microwave remote sensing, spaceborne lidar, retrieval of geophysical variables, and/or machine learning, you may be a great fit for this position. To apply, please send a cover letter and CV to Alex Konings at konings@stanford.edu. 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 preferred because of university regulations, although a partially remote position (if the candidate is based in the US) could be discussed.