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Postdoctoral Research Associate

Job in El Paso, El Paso County, Texas, 88568, USA
Listing for: Texas A&M University
Full Time position
Listed on 2026-07-09
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 90000 USD Yearly USD 60000.00 90000.00 YEAR
Job Description & How to Apply Below

Job Title:

Postdoctoral Research Associate

Position Overview

A postdoctoral research associate will join the ‘Arid Hydrology and Water Systems’ research group at the Texas A&M Agri Life Research Center  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 products, in‑situ and field-sensor records, and advanced hydro‑geologic models into an operational platform to support U.S.–Mexico treaty-based water allocation and infrastructure planning.

Responsibilities
  • 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.
  • Configure, calibrate, and apply hydrologic and groundwater modeling systems (e.g., SWAT+ with gwflow/MODFLOW, Par Flow) for the Rio Grande and other arid and semi-arid basin settings.
  • 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.
  • Support the development of APIs, dashboards, and decision-support tools (e.g., 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 project reports and potential grant proposals.
  • Train and supervise under/graduate students, interns, and other project team personnel.
  • Perform other assigned research and outreach duties related to ongoing research projects.
Required Qualifications
  • Ph.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.
  • Excellent written and verbal communication skills, including the ability to interact with both technical and non-technical audiences.
  • 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, Par Flow, 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.
  • A valid driver's license is required to commute to project-related fieldwork and meetings.
Preferred Qualifications
  • 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…
Position Requirements
10+ Years work experience
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