Post-Doctoral Research Associate

Updated: 3 days ago
Location: Beltsville, MARYLAND
Deadline: ;

Position Information
Position Information


Working Title Post-Doctoral Research Associate
Department Water Center-2225
Requisition Number F_240030
Posting Open Date 02/23/2024
Application Review Date: (To ensure consideration, please submit all application materials before review date) 03/25/2024
Posting Close Date
Open Until Filled Yes
Description of Work
The Nebraska Water Center at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for a highly motivated and enthusiastic postdoctoral research associate. This 12-month (calendar year), special appointment will involve modification, improvement, and testing of plant and soil models developed at the USDA Agricultural Research Service (USDA-ARS) Adaptive Cropping Systems Laboratory (ACSL). The work will primarily focus on the modification, improvement, and testing of plant and soil models. The position consists mostly of coding mathematical representations of plant and soil processes, numerical and data analysis, and computer programming. The apportionment is 100% research. This position will be located in Beltsville, MD.
Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the the Nebraska Water Center are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of diversity. Consistent with the University’s N2025 Strategic Plan , we see every person and every interaction as important to our collective well-being and our ability to deliver on our mission.
In addition to the above-described duties, the individual will be expected to accept reporting responsibilities and other special ad hoc assignments as requested at the administrative unit, college/division, institute, and/or university level.

As an EO/AA employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://www.unl.edu/equity/notice-nondiscrimination .
Minimum Required Qualifications
  • Ph.D. in Soil Science, Plant Physiology, Agricultural Engineering, Civil Engineering, Agronomy, or a related engineering science field with a strong emphasis on biophysics, applied mathematics, data analysis, numerical methods, and modeling.
  • Strong emphasis on biophysics, applied mathematics, data analysis, and numerical modeling in prior research.
Preferred Qualifications
  • Experience with agriculture systems is strongly preferred.
  • Experience with Python and R.
  • Demonstrated programming experience with crop and soil models, experience with numerical methods, data analysis software, and applied mathematics.
Work Location (City, State) Beltsville, MD
Pre-Placement Driving Record Review Required
Criminal History Background Check Required
Posted Salary
How to Apply
Click “Apply for this Job” and complete the information form. Attach the following documents:
  • A letter of interest that describes your qualifications for the job, anticipated contributions, and your experience working in diverse teams or groups and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2 page maximum). See https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement.
  • Your curriculum vitae.
  • Contact information for three professional references.
  • For questions or accommodations related to this position contact
    Marci Sturek
    [email protected]
    Job Category
    Job Category (old) Post Docs & Other Academic
    Job Type 12 Month (Faculty Only)
    Position funded by grant or other form of temporary funding? Yes
    If Temporary, indicate end date
    Planned Hire Date
    Appointment End Date
    Organizational Location Default Location


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