George Allen
2 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Postdoc in Hydrology and Remote Sensing / Geospatial AI at Virginia Tech Virginia Tech in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Competitive salary and benefits are mentioned. The position is a 2-year postdoc.
Country
United States
University
Virginia Tech

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
About this position
George Allen at Virginia Tech is recruiting a 2-year postdoctoral researcher in Hydrology and Remote Sensing, with a start date targeted for Fall 2026 or Spring 2027. The position is based in Blacksburg, Virginia, United States.
Potential research directions include satellite remote sensing of inland surface water and hydrologic applications of geospatial foundation models, LSTM networks, and other AI/ML approaches. This is a strong fit for candidates with interests in earth observation, water resources, geospatial analytics, and data-driven environmental modeling.
The post mentions competitive salary and benefits. No scholarship is being advertised; this is a research postdoc opening.
Interested applicants should DM George Allen or fill out the linked quick form. A group website is also provided for additional context about the lab and research program.
Keywords: hydrology, remote sensing, satellite imagery, inland surface water, geospatial foundation models, LSTM, AI/ML, environmental modeling.
Funding details
Competitive salary and benefits are mentioned. The position is a 2-year postdoc.
What's required
Applicants should be interested in a 2-year postdoctoral position starting Fall 2026 or Spring 2027. Relevant background in hydrology, satellite remote sensing, geospatial analysis, and/or AI/ML methods such as foundation models or LSTM networks is preferred.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.