Postdoc position focusing on interdisciplinary approach to urban resilience and/or compounding disasters.
The Institute of Geographic Sciences and Natural Resources Research in Chinese Academy of Sciences (http://english.igsnrr.cas.cn/) is seeking applications for a Postdoctoral Researcher. The successful candidate will be part of the Key Lab of Land Surface Pattern and Simulation team of CAS, and research interests including climate change, agricultural phenology and food security.
The University of Southern with funding from the Cooperative Research Centre for High Performance Soils (https://soilcrc.com.au/) is offering one PhD scholarship that will contribute to the analysis, modelling and diagnosis of soil constraints across Australian farming systems. The aim of this project will be develop a soil constraint diagnoses framework that brings together biophysical crop and soil modelling with statistical and artificial intelligence approaches.
SciSpace invites applications for one programmer position at NASA-Goddard Institute for Space Studies (NASA GISS) to assist in remote sensing and crop modeling for seasonal yield forecasting. Tasks will include the processing of remote sensing, crop model, and weather model data and their combination within data assimilation and forecasting systems. Information about GISS can be found www.giss.nasa.gov.
The agronomic forecasting lab (aka The Dokoohaki Lab - http://www.dokoolab.com) at the University of Illinois, Urbana Champaign, seeks a PhD student with degrees in agronomy, statistics, computer science or related fields. The successful candidate will work on a cutting-edge program for developing a new generation of crop yield monitoring systems. Projects focus on the use of Bayesian statistical methods for fusing satellite images and soil/crop sensors into process-based crop models.
A newly funded research project seeks to understand how both rural human communities and species populations will respond to challenges posed by climate change and is by a team of collaborators at the University of Maine (Dr. Tim Waring, Dr. BrianMcGill, Dr. Katie Corlew, Dr. Matthew Dube), and the University of Vermont (Dr. Meredith Niles, Dr. Nicholas Gotelli, Dr. Laurent Hébert-Dufresne). The project will synthesize large amounts of data and develop new modeling techniq[…]