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Ecological Modeling Research - Postdoctoral

The Environmental Laboratory (EL) is one of the seven laboratories of U.S. Army Engineer Research and Development Center (USACE-ERDC), which is the Army Corps of Engineers' integrated research and development (R&D) organization. EL provides solutions to environmental challenges for the U.S. Army, the Department of Defense and the Nation through environmental science and engineering research and development. Researchers in EL conduct research in ecosystem science and technology, environmental resiliency, environmental sensing, ecological modeling and forecasting, risk and decision science, environmentally sustainable material, systems biology, climate change, computational chemistry, environmental chemistry and environmental security. For more information about the US Army Engineering Research and Development Center (ERDC) Environmental Laboratory (EL), please visit https://www.erdc.usace.army.mil/.
The Aquatic Nuisance Species Research Program has a major research focus area on “developing next generation integrated ecological models to better predict ecological futures for sustainable USACE operations.” One portion of this initiative addresses the evaluation of novel, mechanistic plant growth models with high-resolution field data of aquatic macrophytes. 
Mechanistic ecological models provide a means for robust prediction beyond observed conditions, transferability between sites and applications, and ultimately cost savings associated with development. However, these tools often provide predictive resolution at very fine spatial and temporal scales, which can be challenging to validate with field observations typically collected at more coarse resolution. Complex modeling tools are also often inaccessible for rapid application by practitioners constrained by time and resources. This research seeks to refine existing mechanistic vegetation growth models, expand models to include ecosystem process outcomes, evaluate models with high-resolution field observations, and generalize tools for national application by Corps of Engineers practitioners.
This project seeks to evaluate an existing multi-species aquatic plant growth model against an extremely detailed field data set of aquatic primary producers in the Middle Oconee River near Athens, Georgia. Existing models and site-scale data provide a unique opportunity to test process-based, species-agnostic models as well as expand models to include ecosystem processes such as ecosystem metabolism and nutrient uptake. The selected post-doctoral fellow will collaborate with investigators at the ERDC and the University of Georgia on development, validation, and application of numerical models for this study. Team members will jointly research plant growth modeling and develop generic modeling approaches applicable beyond the focal site. 
Location: New York, New York
Appointment Length
This ORISE appointment period is up to twelve months in length. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.
Participant Benefits
Participants will receive a stipend to be determined by ERDC-EL. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:
  • Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE.
  • Relocation Allowance
  • Training and Travel Allowance 
Nature of Appointment
The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

While participants will not enter into an employment relationship with DOD or any other agency, this opportunity may require a suitability investigation/background investigation. Any offer made is considered tentative pending favorable outcome of the investigation.