Up to $80,000 - $100,000 (Varies by region and research scope)
Duration
1 to 2 years (Initial award is for 1 year, often renewable for a second)
Deadline
October (Varies annually; check official website for cycle updates)
Level
PhD
Acceptance
Estimated < 5%
Difficulty
Very High
Quick Summary
Aimed at international and domestic phd students, Amazon Science PhD Fellowship is a fully funded scholarship for study in United States. The award covers The fellowship provides full tuition coverage, a competitive living stipend, a research grant for the academic department, and direct access to Amazon's technical expertise and cloud resources. and is open to phd students studying artificial intelligence, machine learning, robotics, computer vision, natural language processing, operations research, sustainability, and automated reasoning. The scholarship runs for 1 to 2 years (initial award is for 1 year, often renewable for a second) and may be renewed annually based on academic performance. Eligibility is generally based on open to PhD candidates globally who are engaged in research areas relevant to Amazon Science, including AI/ML and Robotics. Applicants must be in good academic standing and have a faculty advisor recommendation. The application deadline is October (Varies annually; check official website for cycle updates), with an acceptance rate of approximately Estimated < 5%. Competition for this scholarship varies year to year, so early preparation of required documents is recommended.
✨ Should I Apply for Amazon Science PhD Fellowship?
Instant AI-powered application intelligence
60%
Eligibility Match
8%
Win Probability
7/10
Difficulty
10/10
Reward Score
30-45 hrs
Time Required
Highly Competitive
Competition
🌍 Overview
💰
Award Amount
Up to $80,000 - $100,000 (Varies by region and research scope)
⏳
Duration
1 to 2 years (Initial award is for 1 year, often renewable for a second)
📅
Deadline
October (Varies annually; check official website for cycle updates)
⚙️
Fields
Artificial Intelligence, Machine Learning, Robotics, Computer Vision, Natural Language Processing, Operations Research, Sustainability, and Automated Reasoning
🏆
Awards/Year
Approximately 10-25 per cycle
🌏
Study Country
United States
🏛️
Provider
Amazon.com, Inc. / Amazon Science
📊
Acceptance
Estimated < 5%
The Amazon Science PhD Fellowship is a prestigious program that supports doctoral students conducting innovative research in technical fields. It aims to foster collaboration between academia and industry by providing students with the financial resources and professional mentorship needed to solve complex, real-world problems in computing and AI.
👥 Who Should Apply
Open to PhD candidates globally who are engaged in research areas relevant to Amazon Science, including AI/ML and Robotics. Applicants must be in good academic standing and have a faculty advisor recommendation.
🏛️ Host University
Global (Accredited universities worldwide offering PhD programs)
🤝 Sponsor
Amazon Science
⚙️ Fields of Study
Artificial Intelligence, Machine Learning, Robotics, Computer Vision, Natural Language Processing, Operations Research, Sustainability, and Automated Reasoning
✨ Key Benefits
The fellowship provides full tuition coverage, a competitive living stipend, a research grant for the academic department, and direct access to Amazon's technical expertise and cloud resources.
🎯 Target Students
International and Domestic PhD students
🏷 Tags
PhDArtificial IntelligenceMachine LearningRoboticsAmazonTech ScholarshipResearch Grant
📊 Statistics & Competitiveness
Varies (Thousands globally)
Applicants Last Year
Available on the Amazon Science website (Recipients section)
Winners
Estimated < 5%
Acceptance Rate
Highly Competitive
Competition Level
Win Probability
8%
Match Score
60%
Competition
95%
💸 Funding Breakdown
Tuition
Yes (Full tuition and fees covered)
Living Stipend
Yes (Monthly stipend for the duration of the fellowship)
Total Award
Up to $80,000 - $100,000 (Varies by region and research scope)
✈️ Travel: Yes (Specifically for conferences and Amazon-related research events)🏠 Accommodation: Included in stipend💊 Health Insurance: Varies by host university (Typically covered through university fees)🔄 Renewable: Yes💳 App Fee: $0 (Free to apply)
🎓 Tuition Coverage
Yes (Full tuition and fees covered)
🏠 Living Stipend
Yes (Monthly stipend for the duration of the fellowship)
🏡 Accommodation
Included in stipend
✈️ Travel Allowance
Yes (Specifically for conferences and Amazon-related research events)
💊 Health Insurance
Varies by host university (Typically covered through university fees)
🎁 Other Benefits
Amazon Web Services (AWS) credits, mentorship from Amazon scientists, and potential for paid internships
🔄 Renewable
Yes
📋 Renewal Conditions
Subject to academic progress and availability of program funding
✅ Eligibility Requirements
🌍 Eligible Nationalities
Must be a full-time PhD student enrolled at an accredited university; must have completed at least one year of doctoral study.
🎓 Academic Level
PhD
📊 Minimum GPA
Varies (Competitive applicants typically have 3.7/4.0 or equivalent)
🗣️ English Requirement
Proficiency required (as per host university standards)
💼 Work Experience
Not required, but prior research publications are highly valued
🏆 Leadership
Demonstrated through research impact and community involvement
💰 Financial Need
Not a primary consideration (Merit-based)
🎯 Target Students
International and Domestic PhD students
📝 Application Requirements
Essay / SOP
Yes (Research Proposal and Statement of Purpose)
Rec Letters
Yes (Usually 2-3 letters, including one from the PhD advisor)
Interview
Sometimes (Shortlisted candidates may be interviewed by Amazon scientists)
Application Fee
$0 (Free to apply)
Documents Required
Academic Transcripts
Passport / National ID
Yes (Usually 2-3 letters, including one from the PhD advisor) Recommendation Letters
CV / Resume
Personal Statement / Essays
Proficiency required (as per host university standards)
Interview: Sometimes (Shortlisted candidates may be interviewed by Amazon scientists)
Min GPA: Varies (Competitive applicants typically have 3.7/4.0 or equivalent)
📋 Application Process
Focus your research proposal on real-world scalability and practical applications of AI/ML. Ensure your proposal aligns with Amazon's Leadership Principles.
💡 Insider Tip: Highlight any previous contributions to open-source projects or high-impact publications in conferences like NeurIPS, ICML, or CVPR.
🗾️ Application Roadmap
1
Research eligibility and gather requirements
Start Early
2
Collect all required documents
Start Early
3
Request recommendation letters early
4
Write compelling essays and personal statement
⚠ High Risk Stage
5
Submit complete application before deadline
6
Await shortlisting and attend interview if required
⚠ High Risk Stage
📅 Key Dates & Timeline
📅 Opens
August (Typically opens in late summer)
⏰ Deadline
October (Varies annually; check official website for cycle updates)
🎤 Interview
Sometimes (Shortlisted candidates may be interviewed by Amazon scientists)
🎓 Study Starts
Following Academic Year (Fall Semester)
August (Typically opens in late summer)
Applications Open
Gather documents and begin essays
October (Varies annually; check official website for cycle updates)
Application Deadline
Submit complete application - no late entries
Sometimes (Shortlisted candidates may be interviewed by Amazon scientists)
Shortlisting and Interview
Selected candidates invited for interview
After results
Award Announced
Successful applicants notified
Following Academic Year (Fall Semester)
Studies Begin
Commence degree at host institution
⚖️ Selection Process
📋 Selection Criteria
Academic excellence, technical novelty of the research proposal, alignment with Amazonβs research interests, and recommendation strength.
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Open to PhD candidates globally who are engaged in research areas relevant to Amazon Science, including AI/ML and Robotics. Applicants must be in good academic standing and have a faculty advisor recommendation.
This scholarship covers: The fellowship provides full tuition coverage, a competitive living stipend, a research grant for the academic department, and direct access to Amazon's technical expertise and cloud resources.. It is a fully funded scholarship.
The deadline is October (Varies annually; check official website for cycle updates). Always verify with the official website as dates may change annually.
Competition level: Highly Competitive. Acceptance rate: Estimated < 5%. Strong academic record and clear motivation are essential.
Yes
Typically required: academic transcripts, passport, Proficiency required (as per host university standards), Yes (Usually 2-3 letters, including one from the PhD advisor) recommendation letters, CV, personal statement/motivation letter. Check official website for the complete list.