Publisher
source

Cornell University

Top university

Just Landed

Postdoctoral Associate in Machine Learning and Remote Sensing for Global Water Infrastructure Mapping Cornell University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

United States

University

Cornell University

Apply for this position

Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Hydrology
Spatial Analysis
ML

Suggested positions

Publisher
source

Texas A&M AgriLife Research

Country flag

United States

Texas A&M AgriLife Research is seeking a full-time Postdoctoral Research Associate in Temple, Texas, to support multidisciplinary research in crop modeling, agricultural remote sensing, and geospatial technologies. The researcher will investigate crop growth and yield, water use, and carbon and nitrogen cycling under different agricultural management practices. Responsibilities include designing and managing field experiments, collecting ground-truth data, analyzing datasets, operating and refin...

Computer Science
Environmental Science
Agriculture
+4 more

3 days ago

Publisher
source

Song Shu

University of Kansas

Country flag

United States

PhD opportunity in Remote Sensing & Hydrology at Kansas State University Associate Professor Song Shu at Kansas State University is recruiting 1–2 highly motivated PhD students to join the School of Earth & Environment, with a planned start in Fall 2027. The research group works on surface water hydrology, water resources, and water storage dynamics using satellite and UAV/drone remote sensing, GIS, AI, and advanced computational methods. Potential topics include lake and river hydrology, water-...

Computer Science
Environmental Science
Remote Sensing
+8 more

1 month ago

Publisher
source

University of California, Irvine

Country flag

United States

The Department of Earth System Science at the University of California, Irvine is seeking a postdoctoral scholar to investigate the global spatial organization of precipitation, soil moisture, and vegetation using satellite observations and models. This research sits at the intersection of hydrology, remote sensing, and Earth system science, with a strong emphasis on understanding how hydrologic and vegetation conditions vary across spatial scales. The project examines the environmental factors ...

Computer Science
Environmental Science
Biology
+9 more

New Today

Publisher
source

Oklahoma State University

Country flag

United States

Oklahoma State University is advertising a Postdoctoral Scholar position in Evapotranspiration Forecasting and Irrigation Decision Support within the Department of Biosystems and Agricultural Engineering in Stillwater, Oklahoma, United States. The project focuses on turning NASA Earth observations into actionable forecasts for irrigators and water agencies. The successful candidate will lead the Oklahoma component of a multi-institution effort aimed at improving crop evapotranspiration (ET) fore...

Computer Science
Environmental Science
Agriculture
+9 more

1 month ago

Publisher
source

Oak Ridge National Laboratory

Country flag

United States

Postdoctoral Research Associate – Coastal Landscape Geospatial Modeling at Oak Ridge National Laboratory (Oak Ridge, Tennessee, United States). This postdoctoral opening is in the Plant-Soil Interactions Group within the Environmental Sciences Division at ORNL. The project focuses on coastal landscape analysis and modeling , especially the use of predictive machine learning , remote sensing , and ecological monitoring data to understand and forecast land loss and ecosystem transitions in wetland...

Computer Science
Ecology
Environmental Science
+9 more

2 weeks ago

About this position

DARE is hiring a Postdoctoral Associate in Machine Learning and Remote Sensing to contribute to global-scale mapping of critical water infrastructure.

The position is part of the Dynamic Atlas of Riverine Ecosystems and Infrastructure (DARE) project. The postdoctoral researcher will work on applying machine learning, remote sensing, and geospatial data analysis to understand and map water infrastructure at a global scale, with connections to hydrology and riverine ecosystems.

The researcher will be based in the Critical Infrastructure Systems Lab at Cornell University. The project includes close collaborations with AFM Kamal Chowdhury, Thomas Wild, and Rafael J. P. Schmitt, affiliated with the University of Maryland, PNNL, and the University of California, Santa Barbara. This collaborative environment brings together expertise in critical infrastructure, remote sensing, geospatial analysis, and environmental systems.

The opportunity is suited to researchers interested in machine learning for environmental applications, geospatial data, remote sensing, hydrology, and the mapping of infrastructure and riverine systems.

Funding details

Available

What's required

Applicants should have a strong background in machine learning, remote sensing, and geospatial data analysis.

How to apply

Review the detailed position information and application instructions at the provided application link, then submit an application through the specified process.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.