Postdoc research fellow Full-time

Full time
Postdoctoral Research Associate
Texas A&M Agrilife Research
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
Texas A&M AgriLife Extension Service (
Texas A&M AgriLife Research
College of Agriculture and Life Sciences at Texas A&M University (
Texas A&M Forest Service
Texas A&M Veterinary Medical Diagnostic Laboratory (
As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
A postdoctoral research associate will join the 'Arid Hydrology and Water Systems' research group at the Texas A&M AgriLife Research Center at El Paso. The current focus of the group is on transboundary and shared water resources modeling for sustainable management and binational cooperation, with a strong emphasis on hydrologic modeling, participatory numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary Model and Data Homogenization (TMDH) project that aims to integrate NASA Earth observation (EO) products, in situ and field-sensor records, and advanced hydro-geologic models into an operational platform to support U.Mexico treaty-based water allocation and infrastructure planning. The postdoc will have opportunities to work at the interface of research and practice, interacting closely with U.Mexico stakeholders and agency partners, including the International Boundary and Water Commission (IBWC) and the North American Development Bank (NADBank).
Develop, implement, and validate remote-sensing-enabled models for transboundary surface-water and groundwater assessment, including the integration of NASA EO products (e.g., GRACE/GRACE-FO, SWOT, MODIS, GPM, Landsat, ECOSTRESS, OpenET, and others) with in situ and field-sensor data.
Design and implement AI(ML/DL)-based predictive frameworks to assess water availability, drought impacts, groundwater depletion, and salinity risk under climatic and anthropogenic changes.
Lead data collection, QA/QC, harmonization, storage, and processing workflows across heterogeneous binational datasets for the TMDH framework.
web-based interfaces and visualization workflows) for IBWC, NADBank, and other regional stakeholders.
Coordinate usability testing, stakeholder workshops, and feedback loops, and contribute to advancing the platform from prototype to operational readiness.
Compose research articles for peer-reviewed journals and present results at scientific and stakeholder meetings.
Assist the supervisor in writing the project reports and potential grant proposals.
Train and supervise under/graduate student(s), interns, and other project team personnel.
Perform other assigned research and outreach duties related to ongoing research projects.
D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering, Agricultural Engineering, Geosciences, or a closely related field with remote sensing data application at the time of appointment.
Peer-reviewed publications in hydrology, water resources, environmental modeling, remote sensing, or related domains.
Strong knowledge of hydrologic processes, transboundary/shared water resources management, and coupled human–natural systems.
Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine, or equivalent) to handle and process complex datasets.
Ability to work multi-tasking with project team, end-users, and binational stakeholders, complete project tasks before the deadline, and work cooperatively with the interdisciplinary project team.
Experience with surface water and groundwater modeling using tools such as SWAT/SWAT+ with gwflow/MODFLOW, ParFlow, and other similar models.
Experience with remote sensing and Earth observation data integration into hydrologic or environmental models.
Demonstrated experience with AI (ML/DL), data assimilation, or advanced statistical modeling for environmental or water resources applications.
Experience working with large, multi-source geospatial datasets, preferably in transboundary or data-scarce contexts.
Knowledge of arid and semi-arid water resources and systems, drought, surface-groundwater interactions, and water-treaty policies.
Experience in building web-based tools, APIs, or dashboards for environmental data and model output visualization.
A valid driver's license is required to commute to project-related fieldwork and meetings.
When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.
Health, dental, vision, life and long-term disability insurance ( with Texas A&M AgriLife contributing to employee health and basic life premiums

• 12-15 days of annual paid holidays
• Automatic enrollment in the Teacher Retirement System of Texas
• Interested candidate, submit your application in a single PDF including: (Failure to provide requested application could result in an invalid submission and a rejected application.

Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.
As the largest comprehensive agriculture and life sciences program nationally, Texas A&M AgriLife brings together a college and four state agencies within the Texas A&M University System With over 5,000 employees, and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, the environment, and the economy of Texas and the nation through education, research, extension and service.Texas A&M AgriLife is comprised of the following Texas A&M University System members:
Texas A&M AgriLife Research
College of Agriculture and Life Sciences at Texas A&M University (
Texas A&M Veterinary Medical Diagnostic Laboratory (
Texas A&M AgriLife collaborates with Prairie View A&M University, Tarleton State University, Texas A&M University-Commerce, Texas A&M University-Kingsville and West Texas A&M University as well as with other public and private partners.
Retirement programs