USDA-ARS Fellowship in Water Sustainability of Groundwater-Irrigated Agroecosystems Job Vacancy in U.S. Department of Agriculture (USDA) Oxford, MS – Updated today

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Company Name : U.S. Department of Agriculture (USDA)
Location : Oxford, MS
Position :

Job Description : Organization
U.S. Department of Agriculture (USDA)
Reference Code
USDA-ARS-2022-0122
How to Apply
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A complete application consists of:
An application
Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal institution systems may be submitted. All transcripts must be in English or include an official English translation.
A current resume/CV, including academic history, employment history, relevant experiences, and publication list
Two educational or professional recommendations

All documents must be in English or include an official English translation.
Application Deadline
3/4/2022 3:00:00 PM Eastern Time Zone
Description
Applications will be reviewed on a rolling-basis, and this posting could close before the deadline.
ARS Office/Lab and Location: A research opportunity is available with the U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS) located in Oxford, Mississippi.
The Agricultural Research Service (ARS) is the U.S. Department of Agriculture’s chief scientific in-house research agency with a mission to find solutions to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities to support the nourishment and well-being of all people; sustain our nation’s agroecosystems and natural resources; and ensure the economic competitiveness and excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence.
Research Project: The research will address the feasibility of artificial recharge in the Mississippi River Valley Alluvial Aquifer through a pilot project combining riverbank filtration and aquifer storage to capture surface water for direct injection into the aquifer. Construction of the facility—a collaborative effort between USDA-ARS and U.S. Army Corps of Engineers (USACE)—is complete and full operation began April 2021. A substantial amount of water-level and water-quality data have been collected during the pre-operation period and continue to be collected during facility operation. Detailed geologic and geophysical data have been collected by the U.S. Geological Survey (USGS), including airborne electromagnetic data throughout the study area and waterborne resistivity data in major rivers. Research will contribute to developing an understanding of the engineering challenges and technical and economic feasibility of subsurface injection as a component of managed aquifer recharge in the region. Hydrologic modeling tools developed in collaboration with the University of Mississippi (UM) will be used to evaluate the pilot project and support decision making for water resources management in the region.
Under the guidance of a mentor, the participant will collaborate with USDA-ARS and UM research scientists to perform the following research activities:
Participate in all phases of field-based data collection, operation, and evaluation of the pilot project well field
Seek out relevant data and review literature for existing knowledge related to riverbank filtration, injection wells, and other artificial recharge technologies
Assist with development of operational parameters for sustained groundwater injection
Carry out an established monitoring plan, adjusting the plan as needed, and assist with the development and application of physics-based and data-driven models to evaluate groundwater storage benefits and potential risks for stakeholders

Learning Objectives: Through successful completion of this appointment the participant will achieve the following learning objectives:
Collaborate effectively with a multi-agency interdisciplinary research group
Collect, quality assure, and archive field data, including water levels and water quality
Synthesize and integrate disparate data sources and analyze using modeling techniques
Write and prepare research results for publication in peer-reviewed journal articles or presentation at professional conferences

Mentor(s): The mentor for this opportunity is Andrew O’Reilly (andrew.oreilly@usda.gov). If you have questions about the nature of the research please contact the mentor(s).
Anticipated Appointment Start Date: As soon as a qualified candidate is identified. Start date is flexible and will depend on a variety of factors.
Appointment Length: The appointment will initially be for one year, but may be renewed upon recommendation of ARS and is contingent on the availability of funds.
Level of Participation: The appointment is full-time.
Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience. An annual stipend of $62,000 will be provided. A health insurance allowance will be provided.
Citizenship Requirements: This opportunity is available to U.S. citizens only.
ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program administrator, and there are no employment-related benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.
Questions: Please visit our Program Website. After reading, if you have additional questions about the application process please email USDA-ARS@orau.org and include the reference code for this opportunity.
Qualifications
The qualified candidate should be currently pursuing a doctoral degree in one of the relevant fields.
Preferred skills:
Use of Programming Languages (e.g. Python, Fortran, Matlab, etc.), Excel, Relational Database Management Systems, and Geographic Information Systems
Use of computational fluid dynamics methods to simulate surface/subsurface flow
Use of time series analysis methods
Use of groundwater modeling software (e.g. MODFLOW, HYDRUS 2D/3D, etc.)
Use of economic methods to optimize the decisions made by agricultural producers
Collection, identification, preparation, and data analysis of water samples for elemental, trace metal, organic compounds, and stable isotope analyses
Use of sensors and data logging instrumentation for continuous field-measurement of water levels and water quality
Broad knowledge of surface and borehole geophysics, agriculture, machine learning, and statistics
Eligibility Requirements
Citizenship: U.S. Citizen Only
Degree: Currently pursuing a Doctoral Degree.
Discipline(s):
Earth and Geosciences
Engineering
Environmental and Marine Sciences

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