Azure Cloud Credits Available for Research & Teaching

University of Washington Azure Cloud Computing Credits for Research & Teaching

The University of Washington eScience Institute and UW Research Computing are partnering with Microsoft Azure to offer cloud computing credits to UW researchers (faculty, postdocs, research staff) for both research and teaching projects. (Graduate and undergraduate students are also encouraged to reach out to the UW Research Computing Club for access to cloud computing resources for their own work.)

Research Proposals: We seek proposals for research projects in any discipline that fit one of the following categories:

  • The research project is new and can take advantage of the Azure cloud computing resource. The project needs to have other necessary resources in place so that it can start as soon as the computing credits are awarded. 

< OR >

  • The project is ongoing and the research team may or may not already be using Azure or other computing resources.

The award decisions (see more details below) will be based on both the scientific merit and suitability for cloud computing. We may be able to accept HIPAA-compliant projects so please indicate this requirement on the application.

Teaching Proposals: We also seek proposals for teaching projects in any discipline that can take advantage of Azure. These include computing resources for undergraduate and graduate level for-credit courses, other short courses, and extracurricular research projects carried out by student clubs/teams with faculty mentoring. The lead teaching faculty or faculty mentors of student teams will need to be the Principal Investigators on the application and provide oversight for awarded projects.

Award information: Awarded credits must be used by June 30, 2022. Each research project can request up to $20,000 in credits. Each teaching project can request up to $10,000 in credits. The credits can be used for any Azure service. We will award up to $200,000 in credits in total. Selected projects will also have access to technical support from Microsoft and the eScience Institute for getting started in the cloud. 

Who may apply: Principal Investigators (PIs) and co-PIs should be faculty, postdocs, or research staff members at the University of Washington (including the Seattle, Bothell and Tacoma campuses). An individual may participate as PI/co-PI on only one proposal. Co-investigators, consultants and other personnel are not limited by this restriction. PIs/co-PIs on previously awarded projects through last year’s solicitation are eligible to apply again.

Information sessions: We will be hosting two online information sessions on:
Friday October 22nd, 9:00-10:00 a.m. PT.
Tuesday October 26th, 3:00-4:00 p.m. PT.

How to Apply:

  • Proposals are being accepted and reviewed on a rolling basis.
  • Applications should be submitted online via this form
  • Proposal content:
    • Project description, up to 2 pages, with minimum font size 10.  
      • Research proposals should include specific aims, background, significance and innovation, and methods.
      • Teaching proposals should include the description of the class, the curriculum outline, and the computing projects.
      • Both research and teaching proposals should include a description of how the computing credits will be used, and documentation that any other resources needed for this project are in place (for example, grant award notification, personnel who would undertake the work, or course approval documentation). 
    • A development timeline should be included in each proposal that shows the milestones for the project including the expected usage of the Azure resources as a function of time (1 page limit). Please use the Azure pricing calculator in this process. 
    • References (no page limit).

Review criteria:

  • Suitability for cloud computing resources.
  • For research projects:
    • The significance and innovation of the proposed research
    • Likelihood of success
    • Impact to the research field
    • Potential for continuation, external funding and/or commercialization
  • For teaching projects:
    • The need for this resource
    • The relevance and significance of the projects to the class and the learning outcome
    • The number of students this will benefit

Post-award expectations:

  • All teams will be expected to submit a brief progress report at the midpoint, and a brief closeout report at the end of the award duration. Unused credits will be reassigned to other projects.

For general questions about this solicitation, please contact: Sarah Stone at

For Azure specific questions, please contact: Esaias Bell at and/or Rob Fatland at


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