Fully Funded PhD in AI for Ecosystem Monitoring at University of Michigan (Fall 2026)

Fully Funded PhD in AI for Ecosystem Monitoring at University of Michigan (Fall 2026): Overview

Dr. Lauren Gillespie’s new lab at the University of Michigan, Ann Arbor (School for Environment and Sustainability) is recruiting PhD students to join in Fall 2026. The research focuses on AI-integrated approaches for large-scale ecosystem monitoring in the era of rapid environmental change (the Anthropocene). The program is fully funded and highly interdisciplinary, bridging AI, computer science, ecology, data science, GIS, and environmental science.

Fully Funded PhD in AI for Ecosystem Monitoring at University of Michigan (Fall 2026): Eligibility

• Applicants should demonstrate strong interdisciplinary skills across AI, computer science, ecology, data science, or GIS.

• Students with deep expertise in one of these areas are also encouraged to apply.

• Previous research experience is preferred, but not mandatory.

• Ideal candidates should show intellectual curiosity, independence, and interest in sustainability and conservation.

Benefits

• 5 years of full funding, including tuition and stipend.

• Health insurance coverage.

• Opportunity to join the dual-degree PhD program (e.g., Sustainability + Computer Science, Ecology, or Earth Sciences).

• Supportive and inclusive mentoring environment.

• Access to interdisciplinary research networks and collaborations.

Fellowship/Program Components

• Research themes include:

  • AI methods for ecosystem monitoring.

  • Conservation decision-making.

  • Ecological forecasting under climate change.

• Current study systems: Neotropics, California, and potentially other global biodiversity hotspots.

• Hands-on fieldwork combined with computational modeling.

Application Requirements

• Submit an official SEAS PhD application to the University of Michigan.

• Strong statement of purpose highlighting interdisciplinary interests and research goals.

Selection Criteria

• Demonstrated academic background in relevant fields.

• Intellectual curiosity and motivation for interdisciplinary research.

• Potential to contribute to AI-driven conservation science.

• Fit with Dr. Gillespie’s lab research themes.

7. Application Process

1. Prepare and submit your PhD application through the University of Michigan SEAS portal.

2. Deadline: December 1, 2025 (for Fall 2026 entry).

3. Early review of interest forms begins in October 2025, and applications are considered on a rolling basis.

4. Shortlisted candidates may be invited for further discussions.

For more information and application: 

Visit the official website of the Fully Funded PhD in AI for Ecosystem Monitoring at the University of Michigan (Fall 2026)