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The Earth and Environmental Science Area at Lawrence Berkeley National Laboratory welcomes applicants for a Postdoctoral Scholar in Integrated Hydrologic Modeling. About the position: You will
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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or equivalent Skills/Qualifications Technical Skills: Hydrological analysis and modeling. Spatial analysis using GIS. GIS software (QGIS, ArcGIS). Hydrological modeling software. Processing and analysis
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» Hydrology Researcher Profile Recognised Researcher (R2) Application Deadline 10 Nov 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job
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. 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
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completed before September 2026) in Civil Engineering, Hydrology, Actuarial Science, Econometrics, Applied Statistics or a related field; Experience with statistical modelling and regression analysis applied
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used in next-generation Earth System Models (ESMs). In addition to UXarray-focused responsibilities, the postdoc will contribute to active research in global atmospheric modeling and weather and climate
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 18 hours ago
, hydrological, geomechanical, and reactive responses of hydrate. RIC research includes: • Numerical modeling efforts, including simulations of long-term production tests, • Laboratory experimental tests
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. Priorities include novel high-resolution products (precipitation, evaporation, soil moisture), high-resolution hydrological modelling, human impacts in the water cycle, ground water storage, global water cycle
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State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic