Fellowship Residency

Daniel and Florence Guggenheim Fellowship

National Air and Space Museum
Award USD 30K–45K ≈ €27.6K–€41.4K
Closing date Closed
Location Global
For Individuals

About this opportunity

The Daniel and Florence Guggenheim Fellowship supports research in aviation and space history at the National Air and Space Museum. The fellowship is open to both pre- and postdoctoral candidates who wish to pursue programs of research and writing that are scholarly in tone and substance and intended for publication as articles in peer-reviewed journals, in book form from a reputable publisher, or in a doctoral dissertation. Fellows work in residence at the Museum for 3-12 months, devoting full time to their research project, working closely with a Smithsonian advisor, and making at least one work-in-progress presentation. Predoctoral candidates receive a $30,000 stipend plus $2,000 for travel and research expenses, while postdoctoral candidates receive $45,000 plus $3,000 for travel and research expenses. Applications are due January 16, with fellowships starting between July 1 and September 15.
3 - 13 mo

Who can apply

Applicant Types

individual

Project Locations

🇺🇸 United States

Region

United States

Years from Degree

Up to 8 years

How to apply

Stages

  1. 1 single_stage

Required documents

cv · research_proposal · letters_of_recommendation · budget

Review process

Applications are read by Museum staff, and reviewer comments are compiled and submitted to the selection committee. Selection is based on scholarly merit, contribution to the field, utilization of Museum resources, contribution to Museum programs, and applicant's research record.

Additional benefits

  • travel_support
  • mentorship

Restrictions

  • exclusive_commitment
  • reporting_requirements

Post-award obligations

  • final_report
  • present_findings
  • acknowledge_funder

External listing — not managed by a verified Grantory funder

External Application

This opportunity requires you to apply directly on the funder's website.

Apply on External Site

AI-Extracted Data

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