Postdoctoral crop-climate modeler

Department: UMD/ESSIC

Starting Salary: Commensurate with experience

Closing Date: Open until filled


We are seeking one highly motivated postdoctoral associate to support the dynamic crop growth

modeling for a project funded by the United States Department of Agriculture (USDA)/National

Institute of Food and Agriculture (NIFA). The project’s goal is to develop a predictive decision

support Dashboard for Agricultural Water use and Nutrient management (DAWN) to sustain

food and energy crop production in the Corn Belt ( The post-doctoral

associate will focus on the development, evaluation, and application of an advanced cropmodeling

system. This will involve calibrating, testing, and analyzing a suite of crop growth

models and coupling them with a regional climate model. The resulting coupled system will then

be used to generate more accurate seasonal forecasts of crop yields, carbon uptake, and nutrient

loading that can be shared directly with farmers. The associate will also be actively involved

with the overall project activities as part of an interdisciplinary team that includes research,

extension, and education specialists


Applicants should have a Ph.D. (within 5 years) in agricultural, atmospheric or climate sciences,

and a strong background in crop dynamics and model development. They must have experience

and skill in programming (particularly Fortran and C) as well as analytical skill in model

evaluation and crop-climate interaction. Skills in parallel computing, machine learning, and GIS

application are desired and experience in mesoscale regional climate models encouraged. Strong

verbal and written English communication skills are required.

To Apply: Interested candidates should send a CV with a list of at least 3 professional references and a cover letter explaining how your qualifications meet the posted requirements to Professor Xin-Zhong Liang at