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Applications are now open for the Fully Funded AI for Ecosystem Monitoring PhD Scholarship 2026 at the University of Michigan in USA
If you are an aspiring researcher interested in the intersection of Artificial Intelligence and environmental science, the University of Michigan offers an exceptional, fully funded opportunity. The University of Michigan Scholarship is a graduate assistantship for a PhD position in AI Monitoring, providing one of the strongest compensation packages in the United States. This prestigious program is designed to attract top-tier students who are eager to contribute to groundbreaking research. You can learn more about how to successfully apply for scholarships here.
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In this guide, we will discuss all the essential details of the scholarship, including its requirements, benefits, and a step-by-step application procedure. For those who want to practice writing for their application, here is a guide on how to write a great scholarship essay. You can also find tips on how to ace the GRE.
Scholarship Summary
- Host Country: USA
- Study Abroad: Study in USA
- Category: Postgraduate Scholarships | PhD Scholarships
- Eligible Countries: All Countries
- Reward: Full Scholarship | $41,308 Stipend per year | Health Insurance
- Application Deadline: December 1, 2025
About the Scholarship
Dr. Lauren Gillespie’s new lab at the University of Michigan, Ann Arbor, is actively recruiting PhD students for a fully funded position to begin in Fall 2026. Her research group, based in U-M’s School for Environment and Sustainability, focuses on developing AI-integrated approaches for monitoring ecosystems on a large scale. You can also visit Dr. Gillespie’s lab website to learn more about her specific research interests and projects.
This highly interdisciplinary work combines AI methods development, conservation decision-making, and field-based techniques to understand the effects of rapid environmental change on species and improve ecological forecasting. Considering a master’s program can be a great way to prepare for a PhD, and you can explore the top reasons to study abroad for your Master’s. This can also help you decide on the best affordable universities in the US.
Benefits of the Scholarship
University of Michigan Ph.D. students benefit from one of the strongest PhD compensation packages in the United States, which includes:
- 5 years of fully-funded support, including tuition coverage.
- A generous annual stipend of $41,308, which amounts to approximately $3,442.38 per month.
- Comprehensive health insurance coverage. You can also learn about the qualities of scholarship winners and get tips on how to win a fully funded scholarship.
Eligibility Requirements
To be considered for the University of Michigan Graduate Scholarship, you must meet the following criteria:
- Hold a bachelor’s degree from a relevant discipline.
- Have a strong interdisciplinary background in computer science, ecology, environmental science, data science, and GIS.
- While previous research experience is preferred, ideal candidates should demonstrate a high degree of intellectual curiosity and the capability for independent growth. You may also be interested in how to write a winning essay and what to do when you have a low GPA.
How to Apply (Step by Step)
To apply for the University of Michigan Scholarship, interested and qualified candidates should follow these steps:
- Fill out the Google Form: To express your interest in joining the lab, you must first fill out the provided Google Form. Review of applications will begin in October and continue on a rolling basis, so it is advised to submit your interest as soon as possible.
- Submit the official application: The official PhD application deadline for the School for Environment and Sustainability (SEAS) is December 1, 2025, for a start date in Fall of 2026. You can also explore study tips for elite students as you prepare for your applications.
- Contact Dr. Gillespie: If you have any additional questions about the program or the research, you are encouraged to reach out directly to Dr. Lauren Gillespie.
Application Deadline: December 1, 2025
CLICK HERE TO APPLY
Frequently Asked Questions (FAQs)
- What is the deadline for applications? The official PhD application deadline is December 1, 2025.
- What is the duration of the funding? The program offers 5 years of fully-funded support.
- Is an IELTS score required? The provided text states that an IELTS score is not required, but applicants should always verify and be prepared to meet the university’s English language requirements. You can find detailed information on the Rackham Graduate School’s minimum requirements.
- What kind of background is needed for this scholarship? Candidates should have an interdisciplinary background in computer science, ecology, environmental science, data science, and GIS.
- How should I structure my personal statement? Your personal statement should clearly articulate your research interests, academic background, and how your goals align with the work of Dr. Gillespie’s lab.
- Do I need a letter of recommendation? While the official document does not specify, most graduate programs require at least one letter of recommendation. It is best to have one prepared in advance.
- How do I find a place to live in Ann Arbor? Ann Arbor has a mix of on-campus and off-campus housing. You can search for accommodation through the university’s housing office or various rental websites.
- What is the cost of living in Ann Arbor? The cost of living in Ann Arbor is higher than the national average, but the stipend provided is designed to comfortably cover living expenses, including rent, food, and other necessities.
- What are some tips for preparing for exams? Effective study techniques can help you succeed. Try methods like the Cornell note-taking system or the Pomodoro Technique to manage your time and improve focus.
- What are the career prospects after graduation? Graduates from this program are well-prepared for careers in academia, government, or the private sector, particularly in fields related to environmental data science and AI.
