The University of Texas at Arlington · 2 hours ago
Post Doctoral Research Associate
Arlington, TX
Full-time
Onsite
Senior LevelThe University of Texas at Arlington is seeking a Postdoctoral Research Associate in the Water Engineering Research Center and the Department of Civil Engineering. This role focuses on applying AI and machine learning to projects related to flood forecasting and environmental resilience strategies for Texas communities.
EdTechEducationHigher Education
Responsibilities
Develop, test, and deploy AI/ML models for: Flood forecasting (nowcasting and short-term prediction), Rainfall estimation and downscaling, Remote-sensing fusion (e.g. radar, satellite, SWOT, SMAP, GOES, etc.), Hydrodynamic model optimization and surrogate modeling, Infrastructure risk assessment and resilience analytics
Integrate AI methods with physics-based hydrologic and hydraulic models (e.g., WRF-Hydro, HEC-RAS, OpenFOAM, GSSHA, Delft3D, EFDC, etc.)
Curate, preprocess, and analyze large environmental datasets (meteorological, hydrological, hydraulic, traffic, LiDAR, and DEM/BLE datasets)
Build reproducible pipelines in Python/R/Julia/SQL for big data geospatial applications
Utilize cloud and HPC resources for model training, data assimilation, and simulation
Lead technical tasks across multi-institution research teams
Prepare technical reports, peer-reviewed journal articles, and conference papers
Mentor graduate and undergraduate students
Engage with agency stakeholders to translate research into operational tools
Contribute to competitive grant proposals (NASA, NSF, NOAA, USACE, TWDB, DOE, etc.)
Participate in stakeholder workshops, extension/outreach activities, and community engagement related to flood resilience, water management, and environmental flows
Qualification
Required
Ph.D. in Civil/Environmental Engineering, Hydrology, Hydro informatics, Computer Science, Earth System Science, or related fields
Strong background in machine learning, deep learning, or data assimilation
Experience with scientific programming (Python, R, MATLAB, etc.) and geospatial tools (ArcGIS, QGIS, GDAL, GeoPandas, etc.)
Demonstrated publication records in hydrology, AI/ML, or water resources engineering
Preferred
Experience with LLMs, graph neural networks, transformers, or physics-informed neural networks (PINNs)
Cloud computing (AWS, Azure, Google Earth Engine)
HPC workflows (SLURM, Singularity, Docket)
Working with large datasets (NEXRAD, IMERG, ERA5, DHIs, BLE/HEC-RAS models)
Familiarity with engineering design standards, extreme rainfall analysis, or flood risk management
Strong written and verbal communication skills
Strong project and time management skills
Strong conceptual, organizational, and interpersonal communication skills
Problem-solving and decision-making skills
Ability to acquire accurate and reproducible data
Company
The University of Texas at Arlington
UTA is a growing research powerhouse committed to life-enhancing discovery, innovative instruction, and caring community engagement.
Founded in 2014
1001-5000 employees
H1B Sponsorship
The University of Texas at Arlington has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (74)
2024 (65)
2023 (80)
2022 (48)
2021 (43)
2020 (48)
Funding
Current Stage
Late StageTotal Funding
$6.04MKey Investors
US Department of EnergyNational Science FoundationNASA
2025-01-16Grant· $1.3M
2023-10-20Grant· $1.1M
2023-07-26Grant
Leadership Team
Victoria (Tory) Chen
Director & Co-founder
John Davidson
Vice President & CFO
Recent News
Dallas Innovates
2025-12-06
Medical Xpress - latest medical and health news stories
2025-10-31
Company data provided by crunchbase