Cornell University
Top university
Just Landed
New Today
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
United States
University
Cornell University
Apply for this position
Keywords
Suggested positions
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.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.