Apply Now: University of Vermont Graduate Scholarship 2026/27 in USA | Fully Funded

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The University of Vermont (UVM) is inviting applications from outstanding domestic and international students for a fully funded graduate research opportunity in the United States.

The University of Vermont Graduate Scholarship is offered through a funded research assistantship at the Bernos F.I.S.H. Lab. The opportunity supports students pursuing an MSc or PhD focused on the human dimensions of fisheries in Lake Champlain. Successful candidates will receive full tuition coverage, a living stipend of $37,000 per year, research and conference funding, and expert research supervision.

Scholarship Summary

  • Host: University of Vermont
  • Host Country: United States
  • Category: Postgraduate Scholarships | Masters Scholarships | PhD Scholarships
  • Eligible Countries: All Countries
  • Reward: Full Scholarship | $37,000 Annual Stipend | Research and Conference Costs
  • No IELTS Required
  • Deadline: September 30, 2026

Scholarship Details

The Bernos F.I.S.H. Lab at the University of Vermont is seeking a motivated graduate student for a funded MSc or PhD research assistantship, with a preferred start date of January or May 2027.

The selected candidate will develop an MSc or PhD thesis focused on one or more aspects of the fisheries of Lake Champlain. Research may draw on human-dimension methods such as surveys, interviews, and web scraping, as well as fisheries techniques including sampling, telemetry, and genetics.

The research questions will be developed collaboratively and are expected to contribute to the understanding of topics such as the movement ecology of fishers and fishes, differences in fishing behaviours and decision-making, and social and knowledge networks within fisheries systems.

Eligibility Criteria

To be eligible for the University of Vermont Graduate Scholarship, applicants should:

  • Have an academic background in fisheries science, ecology, natural resources, human dimensions of natural resources, environmental studies, geography, sociology, anthropology, data science, network analysis, or a related discipline.
  • Demonstrate an interest in interdisciplinary research.
  • Have an interest or experience in quantitative and qualitative research methods, modelling and simulations, stakeholder engagement, and social-ecological systems.
  • Be interested in pursuing either an MSc or PhD position.
  • PhD applicants are typically expected to demonstrate a strong foundation for independent research through a master’s degree, research experience, professional work, or other relevant experience.
  • Applicants from all backgrounds, identities, and nationalities are welcome, and international applicants are encouraged to apply.

Scholarship Benefits

Successful applicants for the University of Vermont Graduate Scholarship may receive:

  • Full tuition coverage
  • $37,000 annual living stipend
  • Funding for research and conference expenses
  • Research supervision and mentorship from experienced researchers and experts
  • The opportunity to conduct interdisciplinary research on fisheries and social-ecological systems

Required Documents

Applicants should be prepared to submit:

  • Curriculum Vitae (CV) in PDF format

Applicants who experience difficulties uploading their CV may send it directly to Dr. Thais Bernos using the subject line “Application to Human dimension position.”

How to Apply

To apply for the University of Vermont Graduate Scholarship:

  • Click on the scholarship application link to visit the official opportunity page.
  • Complete the brief Google Form as part of the initial screening process.
  • Applicants selected after the initial review will be invited for an interview.
  • Submit your application materials as early as possible for full consideration.

Applications will be reviewed on a rolling basis until the position is filled. Applicants are encouraged to submit their materials by September 1, 2026 for full consideration.

To begin the scholarship application process, click HERE

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