Publisher
source

Washington University in St. Louis

Postdoctoral Researcher in Geospatial Machine Learning and Earth Observation Washington University in St. Louis in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Washington University in St. Louis

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Keywords

Computer Science
Environmental Science
Agriculture
Remote Sensing
Computer Vision
Earth Science
Earth Observation
Environmental Conservation
Environmental Sustainability
Climate Resilience
Statistics
Machine learning

About this position

Microsoft AI for Good Lab and Taylor Geospatial are recruiting a Postdoctoral Researcher in Geospatial Machine Learning and Earth Observation for the new Features of the World initiative.

The position is hosted at Washington University in St. Louis and advised by Caleb Robinson (Principal Research Scientist Manager at Microsoft AI for Good). The project focuses on building large-scale geospatial AI systems that use satellite imagery and other Earth observation data to identify, characterize, and monitor meaningful features of the planet over time.

This is a highly applied research opportunity connected to real-world challenges in sustainability, conservation, agriculture, infrastructure, and climate resilience. Strong candidates will have, or expect to soon have, a PhD in Computer Science, Machine Learning, Computer Vision, Remote Sensing, or a related area.

To apply, email [email protected] with your CV and a short description of your relevant experience. No deadline was stated in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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