Description

The USDA-ARS Adaptive Cropping Systems Laboratory at Beltsville, MD is seeking a driven Postdoctoral Research Scientist to join a collaborative team of scientist studying the interaction between soil function and cropping practices – a key component to improve soil and crop production models. This research aims to bridge cutting-edge science with practical solutions to support sustainable agricultural production. You will be part of a research team responsible for experimental design, data collection from greenhouse, growth chamber, and field experiments, laboratory analysis of collected samples, and systems analysis. The research will focus on the interaction of plants, soils, and microbes under regenerative practices (collection of plant growth data) and their impact on soil health (physical, chemical, and biological properties).

For additional information and to apply: https://zintellect.com/Opportunity/Details/USDA-ARS-NEA-2026-0029

Learning Objectives: During the appointment, you will learn about:

• Mastering laboratory techniques and interpretation of results for soil physical, chemical, and biological analysis
• Understanding linkages between soil properties, plant physiology, microbial populations, and crop production
• Understanding physiological and agronomic factors influencing plant and soil performance and interactions
• Designing and implementing experimental designs across various scales (growth chambers, greenhouse, field plots) to address current research goals
• Communicating research findings to stakeholders and fellow scientific investigators 

Requirements

The qualified candidate should be currently pursuing or have received a doctoral degree in the one of the relevant fields. Degree must have been received within the past five years or is anticipated to be received by 5/29/2026.

Preferred ability/knowledge of:

• Data collection from plant and/or soil systems, preferably related to agricultural production
• Basic laboratory safety and procedures related to biochemical assays, specifics can be taught as needed
• Follow standard operating procedures for various methods with some instruction as needed
• Experience in soil biochemistry and crop production. 

Additional preferred skills or willingness to learn:

• Use of python or other programing language for automated data collection