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Fellowship/Professional Development Program

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.

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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

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