University of Maryland

Post-doctoral Associate

University of Maryland$50K — $176K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Soil Science, Agricultural Engineering, Civil Engineering, or a related field emphasizing applied mathematics and numerical modeling required.
  • Extensive programming experience in C++, FORTRAN, and Python is needed.
  • Research background in Soil Science, Hydrology, and/or Agronomy is strongly preferred.
  • Experience with soil process simulation models and numerical methods is essential.
  • Ability to obtain a USDA security clearance for on-site access.

Responsibilities

  • Modify and test a finite element model related to soil processes and crop models.
  • Collaborate with graduate students and scientists on data collection for saline and flooded soils.
  • Develop algorithms to simulate flooding and salinity effects on plants.
  • Enhance simulation capabilities for saline soils specific to the Eastern Shore of Maryland.
  • Improve mulch decomposition model performance and expand residue types.
  • Organize and analyze data for manuscript preparations based on modifications.
  • Participate in ongoing projects and provide numerical modeling support as needed.

Benefits

  • Professional development opportunities through collaboration at USDA-ARS and UMD labs.
  • Participation in national and regional scientific conferences for networking.
  • Access to advanced computational resources and modeling expertise at leading scientific institutions.
Full Job Description
Job Description Summary
Organization's Summary Statement:
The purpose of this position announcement is to hire a Post-Doctoral Associate to modify and improve an existing finite element model of water and heat flow, solute transport, and plant root dynamics in soil. The model is a major sub-component of crop models for corn, potato, soybean, cotton, wheat, and rye. This position is funded through a cooperative agreement between the Department of Plant Science and Landscape Architecture and the USDA-ARS Adaptive Crops and Systems Laboratory in Beltsville, MD. This position is based at the University of Maryland College Park in College Park, Maryland with the majority of work conducted at USDA-ARS in Beltsville, Maryland. This position is not available for visa sponsorship.

Duties and Responsibilities: The work will primarily focus on the modification and testing of a finite element model of soil processes and associated crop models. The position consists mostly of numerical analysis and computer programming.

The applicant will be expected to:
• Work with graduate students and scientists who are collecting data on saline and flooded soils, and crop development and simulating water and nitrogen dynamics under cover crops.
• Assist with the development of algorithms to simulate flooding and salinity effects on root growth and plant processes such as photosynthesis.
• Work on improving simulation of saline soils as it applies to the Eastern Shore of Maryland
• Continue work on a mulch decomposition model to improve performance and add new types of residue.
• Find data in the literature for model testing and evaluation as needed.
• Organize and analyze data in order to prepare manuscripts based on these modifications.
• Participate in ongoing projects in the ARS and UMD labs and provide numerical modeling support as needed.
• Work with training users in model applications.
• Demonstrate interpersonal skills in a professional setting.
• Be willing to travel in- or out of state for scientific conferences, to network and collaborate with colleagues.
• Present findings at regional or national meetings.

Qualifications:
Required –Ph.D. in Soil Science, Agricultural Engineering, Civil Engineering or a related engineering science field with a strong emphasis on applied mathematics, numerical methods and modeling is required.

Physical Demands:

Preferences:
Experience with agriculture and soils is strongly preferred. Specific Abilities/Experience required: Extensive programming and numerical methods experience in C++, FORTRAN and Python is a prerequisite, as is a research background in Soil Science, Hydrology and/or Agronomy. Demonstrated programming experience with soil process simulation models such as finite element and finite difference models, and experience with numerical methods and applied mathematics is strongly preferred. Ability to obtain a USDA security clearance for on-site access to US government resources and systems.

Licenses/ Certifications:

Additional Job Details

Required Application Materials: Candidates must apply with the following documents, Cover letter highlighting relevant experience, Curriculum Vitae, Contact information for three references

Best Consideration Date: August 14, 2026

 

Posting Close Date: August 21, 2026

 

Open Until Filled: Yes

 

Financial Disclosure Required
No

For more information on Financial Disclosure, please visit .

Department
AGNR-Plant Science & Landscape Architecture

Worker Sub-Type
Faculty Regular

Salary Range
$50,299.72 - $176,206.72

Benefits Summary

For more information on Regular Faculty benefits, select this .

About University of Maryland

The University of Maryland is a public research university in College Park, Maryland. Founded in 1856, it is the flagship institution of the University System of Maryland. The university offers 127 undergraduate majors and 112 graduate programs, and is classified among 'R1: Doctoral Universities ? Very high research activity'. The university has a strong focus on research, with more than $1 billion in annual research expenditures. It is also known for its athletic programs, particularly its basketball team, the Maryland Terrapins.
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