Excel Campus Activities · 4 days ago
Post Doctoral Research Associate
Arlington, TX
Full-time
Onsite
Senior LevelThe University of Texas at Arlington is inviting applications for a Postdoctoral Research Associate in the Department of Civil Engineering. This role focuses on applying AI, machine learning, and advanced hydrologic modeling to address real-world water challenges, particularly in flood forecasting and decision-support systems.
Events Services
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
Benefits
Health Insurance
Retirement Plans
Paid Time Off
Company
Excel Campus Activities
Excel Campus Activities is the programming board of the University of Texas at Arlington.
Founded in 1992
11-50 employees
H1B Sponsorship
Excel Campus Activities 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
2023 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase