IT Developer for a USDA NIFA Project

UMD - ESSIC Earth System Science Interdisciplinary Center are seeking energetic applicants for an administrative staff of three.


Date posted

June 29, 2020 12:00 am

Application deadline

July 31, 2020 12:00 am


UMD - ESSIC Earth System Science Interdisciplinary Center


  • United States

Job description

IT Developer for a USDA NIFA Project

Department: UMD/ESSIC
Starting Salary: Commensurate with experience
Closing Date: Friday, July 31, 2020


We are seeking energetic applicants for an administrative staff of three to support the finance, communication, extension, education, data sharing, and management of the new $10M project funded by the United States Department of Agriculture (USDA)/National Institute of Food and Agriculture (NIFA). The project’s goal is to develop, in the next five years, a predictive decision support Dashboard for Agricultural Water use and Nutrient management (DAWN) to sustain food and energy crop production in the Corn Belt.They will support the Project Director (PD), Professor Xin-Zhong Liang, to administrate the DAWN project execution in integrating the research, extension and education activities among an interdisciplinary team in the University of Maryland and six partner institutions. Their key responsibilities include

  1. The IT Developer will be in charge of all software engineering tasks: (a) developing decision support system (DSS) tools and information delivery system (IDS) web service capable of machine learning; (b) running system forecasts; (c) maintaining the project database and the research website; (d) coordinating with the IT support persons of the partner institutions in developing the interfaces among the coupled modeling system, the progressive database, the DSS models, the DSS tools, the IDS web service, and the users; (e) updating the DAWN data management plan and ensure effective data sharing among the science team and stakeholders.


Applicants for the IT Developer position should have a M.S. degree (or equivalent experience) in computer science. They must have experience and skill in scientific and web programming, data management and visualization, in particular Fortran, C, Python, JSON, PHP, jQuery, MySQL, Apache, Scikit-Learn and other machine learning tools on HPC or Cloud-based platforms.

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

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