Environment Track: Early-Career Research Fellowship
For the 2026-2028 Application Cycle, the Environment Track focuses on Ecosystem Health - Monitoring and Managing for Environmental Change. This track invites research that leverages innovative scientific or technological approaches to assess, monitor, or predict the resilience of critical ecosystems and species to changing conditions.
Fellows should develop or test innovative monitoring techniques and/or develop solutions that enhance a system's biodiversity or slow its loss. This work should translate into actionable management & policy strategies that sustain ecosystem services & strengthen community resilience. Special emphasis will be placed on applicants that utilize genetic/genomic/machine learning/or AI methodologies in their work.
Not accepting applications
Meet our recent awardees
Description
The Gulf Research Program’s Early-Career Research Fellowship supports emerging scientific leaders as they take risks on research ideas not yet tested, pursue unique collaborations, and build a network of colleagues who share their interest in improving offshore energy system safety and the well-being of coastal communities and ecosystems.
Because the early years of a researcher’s career are a critical time, the relatively unrestricted funds and mentoring this fellowship provides help recipients navigate this period with independence, flexibility, and a built-in support network.
The Early Career Research Fellowship’s Environment Track aligns with the Gulf Research Program’s Environmental Protection portfolio and narrows the fellowship’s scope to support research most directly aligned with this priority area.
2026 Environment Track Focus: Ecosystem Health - Monitoring and Managing for Environmental Change
Track Goal: This track invites research that leverages innovative scientific or technological approaches to assess, monitor, or predict the resilience of critical ecosystems and species to changing conditions. Fellows should develop or test innovative monitoring techniques and/or develop solutions that enhance a system’s biodiversity or slow its loss. This work should translate into actionable management and policy strategies that sustain ecosystem services and strengthen community resilience. Special emphasis will be placed on applicants that utilize genetic, genomic, machine learning, or AI methodologies in their work.
Contributors
Staff
Maeesha Saeed
Lead
Karena Mary Mothershed
Lead
Courtney DeVane
Leticia Garcilazo Green
Major units and sub-units
Gulf Research Program
Lead
Organizational Initiatives
Lead
Office of Fellowships
Lead
Discover
Events
Right Now & Next Up
Stay in the loop with can’t-miss sessions, live events, and activities happening over the next two days.
NAS Building Guided Tours Available!
Participate in a one-hour guided tour of the historic National Academy of Sciences building, highlighting its distinctive architecture, renowned artwork, and the intersection of art, science, and culture.