International Scholarship Β· United States

Amazon AI PhD Fellowship Program

A $68 million initiative funding more than 100 PhD students in core AI research (machine learning, computer vision, NLP) with two years of tuition, stipend, AWS compute credits, and an Amazon scientist mentor - but currently limited to nine named US partner universities.

Applications OpenDeadline: Determined by each partner university's internal nomination/application process; program covers the 2025-2026 and 2026-2027 academic yearsOfficial Portal β†’

Quick Facts

Status

Applications Open

Funding

Fully Funded

Deadline

Determined by each partner university's internal nomination/application process; program covers the 2025-2026 and 2026-2027 academic years

Country

US flagUnited States
Official Website β†’
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About the Amazon AI PhD Fellowship Program

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Amazon's AI PhD Fellowship Program is a large, well-funded initiative launched to deepen Amazon's ties with leading AI research departments. It provides two years of funding, covering tuition, fees, generous stipends, and travel grants, for PhD students conducting research in core artificial intelligence disciplines such as machine learning, computer vision, and natural language processing. Alongside direct student funding, the program allocates a substantial pool of AWS cloud-computing credits each academic year, giving fellows significant compute resources to run large-scale experiments that would otherwise be difficult to afford on typical academic budgets.

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The most important eligibility detail for international applicants is that this program currently operates through nine specifically named US partner universities: Carnegie Mellon University, Johns Hopkins University, MIT, Stanford University, UC Berkeley, UCLA, University of Illinois Urbana-Champaign, UT Austin, and the University of Washington. Amazon states explicitly that students of any citizenship or nationality are eligible, so a Pakistani or other international PhD student already enrolled at one of these nine universities can apply - but a student not enrolled at one of them currently has no route into this specific program, regardless of nationality.

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Each selected fellow is paired with a senior Amazon scientist as a mentor, who meets with the fellow regularly to discuss both the technical direction of their research and its real-world implications for Amazon's products and services. This mentorship component is a distinguishing feature compared to purely financial fellowships, giving fellows exposure to how a major technology company translates academic AI research into deployed systems.

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Because eligibility hinges on enrollment at one of the nine listed institutions and on having already passed the home department's PhD qualifying exams with an assigned thesis advisor, this fellowship suits students who are already settled into a strong AI-focused PhD program at one of these specific schools, rather than students choosing where to apply for a PhD from scratch based on this fellowship alone.

Eligible Levels

PhD

Eligible Fields

Machine LearningComputer VisionNatural Language ProcessingCore AI Research
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Why Choose This Scholarship?

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Very well-funded program with a large committed budget ($68 million across two years)

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Includes both direct financial support and substantial AWS compute credits, valuable for large-scale AI research

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Personal mentorship from a senior Amazon scientist working in a related research area

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Open to any nationality for students already at a partner university

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Strong bridge to future Amazon research internships or scientist roles

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What the Scholarship Covers

Two years of funding covering tuition, fees, and stipends
Travel grants for conferences and research-related travel
A significant allocation of AWS cloud-computing credits for research use
A dedicated senior Amazon scientist as a research mentor
Part of a $68 million program funding over 100 PhD students across two academic years
US flag

Studying in United States

This program is currently restricted to nine specific United States university partners; students of any nationality already enrolled at one of these schools are eligible, but there is no route to apply from outside these institutions at this time.

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Eligibility Requirements

5 requirements

Must be enrolled in a PhD program at one of the nine current partner universities: Carnegie Mellon University, Johns Hopkins University, MIT, Stanford University, UC Berkeley, UCLA, University of Illinois Urbana-Champaign, UT Austin, or University of Washington
Must have passed the home department's required PhD qualifying exams
Must have an assigned PhD thesis advisor
Open to students of any citizenship or nationality
Research focus must be within core AI disciplines (machine learning, computer vision, NLP, or related areas)
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Documents Checklist

4 documents required

1Departmental nomination or internal application (process set by each partner university)
2Research statement or summary of ongoing PhD research
3CV with academic and research background
4Advisor confirmation of thesis supervision
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How to Apply - Step by Step

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Step 1: Confirm you are enrolled in a qualifying AI-related PhD program at one of the nine current Amazon partner universities.

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Step 2: Check with your department or graduate school about their specific Amazon Fellowship nomination or application process, since Amazon runs this through the universities rather than a single central portal.

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Step 3: Prepare your research statement, CV, and advisor confirmation as required by your department.

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Step 4: Submit through your university's internal process by its specific deadline.

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Step 5: If selected, you will be paired with an Amazon scientist mentor and receive funding for the applicable academic year(s).

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Application Timeline

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Fall 2025

Program launch announcement

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Varies by institution

University-level nomination processes

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2025-2026 and 2026-2027 academic years

Funding coverage

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Insider Tips & Pro Tips

TIP 1

If you are not yet enrolled in a PhD program, factor this fellowship into your choice of university if AI-focused funding matters to you - it is currently limited to the nine named partner schools

TIP 2

If you are already at one of the nine universities, contact your department early, since Amazon channels this fellowship through university-specific nomination processes rather than one central deadline

TIP 3

Make sure you have passed your qualifying exams and have a confirmed thesis advisor before seeking a nomination

TIP 4

Highlight research that is clearly within core AI disciplines (ML, CV, NLP) rather than tangential computer science topics

TIP 5

Ask your department how many students Amazon typically funds at your school per cycle to gauge competitiveness

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Frequently Asked Questions

5 questions - click any to expand

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Only if they are already enrolled in a PhD program at one of the nine specific partner universities (CMU, Johns Hopkins, MIT, Stanford, UC Berkeley, UCLA, UIUC, UT Austin, or University of Washington). Amazon states students of any nationality at these schools are eligible, but there is currently no route in from outside them.

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Two years of tuition, fees, stipend, and travel grant support, plus a share of AWS cloud-computing credits for research use.

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No, the fellowship is administered through each partner university's own nomination or internal application process rather than a single Amazon-wide portal.

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Core AI disciplines including machine learning, computer vision, and natural language processing.

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Yes, applicants must have passed their home department's PhD qualifying exams and have an assigned thesis advisor.

Ready to Apply?

Head to the official portal and start your application today.

Apply on Official Website β†’
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Deadline: Determined by each partner university's internal nomination/application process; program covers the 2025-2026 and 2026-2027 academic years

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