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
Country
United States
University
University of Utah

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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.
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