Publisher
source

He Yin

3 days ago

Fully Funded PhD in Remote Sensing and Spatial Intelligence for Environmental Applications at University of Utah University of Utah in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Four years of funding are offered, including tuition and stipend. The position also provides access to interdisciplinary research support and advanced computing resources, including the University of Utah Redtail AI supercomputer.

Deadline

Aug 1, 2027

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Country

United States

University

University of Utah

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Keywords

Computer Science
Environmental Science
Agriculture
Remote Sensing
Forestry
Geography
Artificial Intelligence
Image Processing
Earth Science
Spatial Ability
ML

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About this position

He Yin at the University of Utah is recruiting one fully funded PhD student for a Fall 2027 start. The project focuses on remote sensing and spatial intelligence methods to address environmental challenges, with research topics including land use change, agriculture, forests, water resources, and related Earth-system processes.

The student will join an interdisciplinary environment through the School of Environment, Society, and Sustainability and the Scientific Computing and Imaging Institute at the University of Utah. The post highlights access to advanced computing resources, including the Redtail AI supercomputer, and a supportive lab culture focused on student success.

Funding includes four years of support covering tuition plus stipend. The ideal applicant has strong programming and quantitative skills, an interest in remote sensing, AI, and environmental applications, and may have experience with image processing, PyTorch, TensorFlow, foundation models, or Linux. A bachelor's degree in a relevant field is required; a master's degree or equivalent research experience is preferred.

Interested candidates should complete the application form linked in the post and review the detailed announcement before applying.

Funding details

Four years of funding are offered, including tuition and stipend. The position also provides access to interdisciplinary research support and advanced computing resources, including the University of Utah Redtail AI supercomputer.

What's required

Applicants should have strong programming and quantitative skills and an interest in remote sensing, AI, and environmental applications. Experience with image processing, PyTorch/TensorFlow, foundation models, or Linux is a plus. A bachelor's degree in a relevant field is required, and a master's degree or equivalent research experience is preferred.

How to apply

Complete the application form linked in the post. Review the detailed announcement first, then submit your information through the same link.

More information can be found here

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