The Crop Science Group within the Institute of Crop Science and Research Conservation (INRES) at the University of Bonn is offering a Post-Doc position (E13 TV-L / 100%) for a period of up to 3 years. The Crop Science group at University of Bonn has a strong focus on developing dynamic, process based models for crop and agroecosystem management. The models are used among others to predict impacts of climate or management changes on crop production as well as eco-system services provision.
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.
The successful candidate will conduct research in the field of water resources and extensive field experiments, with several areas in CARC. Will also assist PI with data downscaling, predictions and evaluation.
3 PhD positions are available within the project “Optimal N for future agricultural landscapes: digital technologies to optimize tradeoffs”. The project aims at developing predictive tools to support site specific crop N management for optimal delivery of ecosystem services related to N. The project is composed of three sub-projects, with respective focuses on process understanding; upscaling; and predictive modelling.
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[…]
Exciting opportunity to join a world-class team in a fast paced start up to develop a tool to support sustainable decision making in agricultural systems. The primary responsibility will be the development of a quantitative framework that integrates the scientific understanding of sustainable agricultural practices from a range of economic and environmental perspectives.
The postdoctoral researcher will contribute to the NSF-EPSCoR GEM3 program (www.idahogem3.org/) aimed at understanding how genetic diversity and phenotypic plasticity affect species response to environmental change, shaping both population response and adaptive capacity.