Postdoctoral Fellow in Water Systems (ml)
Core
Researcher supporting the BEG hydro group to synthesize Texas water resource data, develop web-based products, and assess drought/flood risk and resilience.
Role type
Postdoctoral Fellow in Hydrology and Data Analytics
Builds
Web-based water resource information products and scientific research outputs
Domain
Water resources management, hydrology, and environmental data science
Deliverable
production ML models | product features | research
Required skills
hydrology, numerical/analytical modeling, data analytics and wrangling, Python programming, geoprocessing, GIS analytics, data-driven model development
Preferred skills
predictive machine learning, deep learning, CNNs, generative AI (diffusion models), model interpretability (SHAP/LIME), high-performance computing, drought metrics
Technologies
Python, CNNs, diffusion models, SHAP, LIME
Responsibilities
Analyze and interpret large hydrological datasets using statistical and numerical techniques; Contribute to scientific publications and presentations; Collaborate on research proposals and fundraising; Support supervisor and Bureau operations
Seniority
Postdoctoral Fellow, early-career researcher