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Fully Funded PhD in AI for Ecology, Remote Sensing, and Environmental Change University of Michigan in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position. SEAS provides admitted PhD students with five academic years of tuition support, GradCare health insurance, and a monthly stipend benchmarked to a 50% Graduate Student Instructor appointment, subject to satisfactory academic progress.
Deadline
Dec 1, 2026
Country
United States
University
University of Michigan

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About this position
Fully funded PhD opportunity at the University of Michigan in the School for Environment and Sustainability (SEAS) with Dr. Lauren E. Gillespie’s research group.
The project sits at the intersection of AI, remote sensing, ecology, biodiversity, and environmental science. The lab develops AI-integrated approaches for ecosystem monitoring and works with large-scale environmental data to study environmental change, ecological forecasting, and biodiversity patterns.
Research themes mentioned include AI and machine learning for ecological monitoring, remote sensing of biodiversity and environmental change, ecological forecasting, large-scale biodiversity data, and citizen/community science data.
The position is for a PhD in Environment and Sustainability and is especially suitable for applicants from interdisciplinary backgrounds such as computer science, ecology, environmental science, data science, and remote sensing.
Funding: the PhD is fully funded. SEAS provides five academic years of tuition support, GradCare health insurance, and a monthly stipend benchmarked to a 50% Graduate Student Instructor appointment, subject to satisfactory academic progress.
Location: Ann Arbor, Michigan, United States.
Deadline: December 1, 2026. Start: Fall 2027.
International applicants are explicitly welcomed, though additional English-proficiency and immigration-documentation requirements may apply.
Funding details
Fully funded PhD position. SEAS provides admitted PhD students with five academic years of tuition support, GradCare health insurance, and a monthly stipend benchmarked to a 50% Graduate Student Instructor appointment, subject to satisfactory academic progress.
What's required
Applicants should be interested in a PhD in Environment and Sustainability and have an interdisciplinary background spanning computer science, ecology, environmental science, data science, or remote sensing. International applicants are accepted, and additional English-proficiency and immigration-documentation requirements may apply. The post implies strong interest in AI-integrated ecological monitoring and large-scale environmental data work.
How to apply
Prepare a PhD application for the University of Michigan School for Environment and Sustainability. Review the program requirements, especially English-proficiency and immigration-documentation rules for international applicants. Submit the application by December 1, 2026.
More information can be found here
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