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Colorado School of Mines

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Post-Doctoral Fellow, Satellite Remote Sensing of Lake and Coastal Ice Colorado School of Mines in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Funding is available for 9 months with the possibility of extension if additional research funding is secured. Annual rate is $65,000 to $70,000.

Deadline

Nov 16, 2026

Country flag

Country

United States

University

Colorado School of Mines

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Hydrology
Fluid Mechanics
Civil Engineering
Earth Science
Physics
ML

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About this position

The Colorado School of Mines School of Earth, Space and Planets is seeking a post-doctoral fellow to lead research on satellite remote sensing of lake and coastal ice. The project is centered on NOAA-funded work that develops and applies novel ice retrieval algorithms for the Great Lakes and coastal Alaska, with an emphasis on deriving ice freeboard and thickness and validating ice predictions for NOAA operational models.

The position is based in the School of Earth, Space and Planets at Colorado School of Mines in Golden, Colorado. The fellow will work independently in collaboration with a faculty advisor and contribute to a weekly research meeting and regular lab discussions. The role is research-intensive and includes algorithm development, satellite data analysis, validation of model predictions, and communication of results through papers, presentations, and conference talks.

The research environment combines remote sensing, hydrodynamics, and data-driven methods in an applied Earth-systems context. The successful candidate will contribute to a project with direct relevance to operational ice prediction and coastal/lake monitoring, while also supporting broader lab research activities and mentoring-related tasks.

Funding details

Funding is available for 9 months with the possibility of extension if additional research funding is secured. Annual rate is $65,000 to $70,000.

What's required

A PhD in civil or environmental engineering, hydrology, watershed science or a related field is required. Candidates should have expertise in remote sensing, machine learning, and lake ice, with strong knowledge of programming, statistical analysis, hydrodynamic processes, and satellite applications. Mentoring experience with graduate or undergraduate students is preferred, along with ability to generate proposal ideas and contribute to proposal writing.

How to apply

Apply online through the posted Workday application link before 2026-11-16. Include a cover letter, current CV, and research statement. Contact Dorie Gelber at [email protected] with questions.

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