Funding
The UT Austin-Amazon Science Hub provides several funding opportunities for UT researchers and Amazon subject-matter experts to pursue impactful research.
To receive updates on funding opportunities, including submission deadlines, guidelines and information on other Amazon funding opportunites, please subscribe to our mailing list.
To support our mutual interest in developing a sustainable, diverse talent pipeline, the UT Austin-Amazon Science Hub will offer one-year Ph.D. fellowships to UT students. These fellowships will be aligned to the academic year cycle and recipients will be selected by the Science Hub board of advisors.
Past Ph.D. Fellowship Recipients
- Ajay Jaiswal
More information about the 2024 Ph.D. Fellowships application coming soon.
Amazon business units engage with UT researchers to fund select competitive and non-competitive projects under sponsored research project agreements. The selection process for these projects is at the discretion of Amazon and the funding group.
For more opportunities to connect with Amazon subject-matter experts, join us for one of our next community events.
Ongoing Sponsored Projects
- Real-Time Video Quality Prediction on Live, High-Motion Studio/Professional-Grade Content, PI Al Bovik
- Content-Based Video Asynchronzation Detection, PI David Harwath
More information about the Fall 2024 Sponsored Research Proposal application coming soon.
The UT Austin-Amazon Science Hub runs competitive open calls and solicits proposals for gift-funded research projects in both fundamental and application-specific concepts. Research grant recipients are awarded financial support and given the opportunity to connect with an Amazon scientist for collaboration/discussions.
The areas of interest for each grant award cycle will be specified within the submission instructions, along with the deadlines and project template. The duration of each project lasts one academic year.
More information about the 2024 Research Grant application coming soon.
2023 Cycle Recipients
- Fundamentals of Data-Driven Spectrum Sharing for 6G-era LEO Networks, PI Jeffrey Andrews
- Positioning and Sensing on 6G LEO Networks, PI Todd Humphreys
- Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset, PI Joydeep Biswas
- Verifying LLMs, with LLMs, PI Gregory Durrett