Varies; typically covers full tuition plus a competitive monthly stipend exceeding $4,000
Duration
1 to 3 years (contingent on research progress)
Deadline
Check official website (Typically late Autumn/Winter cycles)
Level
Postgraduate (PhD and advanced Master's)
Acceptance
Estimated < 1%
Difficulty
Extremely High
Quick Summary
Aimed at graduate researchers and aspiring ai engineers, Tesla AI Fellowship is a fully funded scholarship for study in United States. The award covers The fellowship provides a comprehensive package including full tuition coverage, a generous living stipend, relocation assistance, and world-class industry mentorship. and is open to postgraduate (phd and advanced master's) students studying artificial intelligence, machine learning, computer vision, robotics, autonomous systems. The scholarship runs for 1 to 3 years (contingent on research progress) and may be renewed annually based on academic performance. Eligibility is generally based on applicants must be enrolled in a PhD or Master's program at a partner university, demonstrating exceptional skills in neural networks, computer vision, or robotics. The application deadline is Check official website (Typically late Autumn/Winter cycles), with an acceptance rate of approximately Estimated < 1%. EduAtlasHub tracks updated deadlines, coverage details and eligibility requirements for this scholarship as they change.
✨ Should I Apply for Tesla AI Fellowship?
Instant AI-powered application intelligence
75%
Eligibility Match
4%
Win Probability
9/10
Difficulty
10/10
Reward Score
60-80 hrs
Time Required
Very Low
Competition
🌍 Overview
💰
Award Amount
Varies; typically covers full tuition plus a competitive monthly stipend exceeding $4,000
⏳
Duration
1 to 3 years (contingent on research progress)
📅
Deadline
Check official website (Typically late Autumn/Winter cycles)
🔬
Fields
Artificial Intelligence, Machine Learning, Computer Vision, Robotics, Autonomous Systems
🏆
Awards/Year
Limited/Highly Selective
🌏
Study Country
United States
🏛️
Provider
Tesla, Inc.
📊
Acceptance
Estimated < 1%
The Tesla AI Fellowship is a prestigious award for graduate students pursuing cutting-edge research in artificial intelligence. The program aims to bridge the gap between academic research and industrial application by providing students with the resources, mentorship, and financial backing needed to solve complex problems in autonomous driving and humanoid robotics.
👥 Who Should Apply
Applicants must be enrolled in a PhD or Master's program at a partner university, demonstrating exceptional skills in neural networks, computer vision, or robotics.
🏛️ Host University
Top-tier global research universities (e.g., Stanford, MIT, UC Berkeley, CMU)
🤝 Sponsor
Tesla Autopilot & AI Team
🔬 Fields of Study
Artificial Intelligence, Machine Learning, Computer Vision, Robotics, Autonomous Systems
✨ Key Benefits
The fellowship provides a comprehensive package including full tuition coverage, a generous living stipend, relocation assistance, and world-class industry mentorship.
Monthly stipend aligned with top-tier PhD fellowship rates in the US
Total Award
Varies; typically covers full tuition plus a competitive monthly stipend exceeding $4,000
✈️ Travel: Funds for attending major AI conferences (e.g., CVPR, NeurIPS, ICRA)🏠 Accommodation: Relocation assistance and housing support for internships at Tesla HQ💊 Health Insurance: Comprehensive health, dental, and vision insurance included🔄 Renewable: Yes💳 App Fee: Free
🎓 Tuition Coverage
Full tuition and mandatory university fees
🏠 Living Stipend
Monthly stipend aligned with top-tier PhD fellowship rates in the US
🏡 Accommodation
Relocation assistance and housing support for internships at Tesla HQ
✈️ Travel Allowance
Funds for attending major AI conferences (e.g., CVPR, NeurIPS, ICRA)
💊 Health Insurance
Comprehensive health, dental, and vision insurance included
🎁 Other Benefits
Direct mentorship from Tesla AI engineers, access to massive proprietary datasets, and high-performance computing clusters
🔄 Renewable
Yes
📋 Renewal Conditions
Maintaining high academic standing and meeting research milestones aligned with Tesla’s AI objectives
✅ Eligibility Requirements
🌍 Eligible Nationalities
Current PhD students or exceptional Master's students in computer science or related fields with a focus on AI
🎓 Academic Level
Postgraduate (PhD and advanced Master's)
📊 Minimum GPA
3.7 on a 4.0 scale (or equivalent)
🗣️ English Requirement
Proficiency in English (TOEFL/IELTS if applicable for international students)
💼 Work Experience
Prior research experience or high-level internships in AI/ML is highly preferred
🏆 Leadership
Demonstrated through open-source contributions, research lead roles, or academic honors
💰 Financial Need
No
🎯 Target Students
Graduate researchers and aspiring AI engineers
📝 Application Requirements
Essay / SOP
Yes (Statement of Purpose and Research Proposal)
Rec Letters
Yes (3 letters of recommendation from academic/industry experts)
Interview
Yes (Multiple rounds of technical coding and research deep-dives)
Application Fee
Free
Documents Required
Academic Transcripts
Passport / National ID
Yes (3 letters of recommendation from academic/industry experts) Recommendation Letters
CV / Resume
Personal Statement / Essays
Proficiency in English (TOEFL/IELTS if applicable for international students)
Interview: Yes (Multiple rounds of technical coding and research deep-dives)
Min GPA: 3.7 on a 4.0 scale (or equivalent)
📋 Application Process
Highlight practical applications of your research to real-world autonomous systems and demonstrate deep proficiency in PyTorch or C++.
💡 Insider Tip: Ensure your GitHub profile or research portfolio showcases high-quality, reproducible code in deep learning.
🗾️ 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
Varies by academic year (usually September)
⏰ Deadline
Check official website (Typically late Autumn/Winter cycles)
🎤 Interview
Yes (Multiple rounds of technical coding and research deep-dives)
🎓 Study Starts
Varies (typically Summer or Fall semester)
Varies by academic year (usually September)
Applications Open
Gather documents and begin essays
Check official website (Typically late Autumn/Winter cycles)
Application Deadline
Submit complete application - no late entries
Yes (Multiple rounds of technical coding and research deep-dives)
Shortlisting and Interview
Selected candidates invited for interview
After results
Award Announced
Successful applicants notified
Varies (typically Summer or Fall semester)
Studies Begin
Commence degree at host institution
⚖️ Selection Process
📋 Selection Criteria
Research impact, technical coding ability, alignment with Tesla's FSD and Optimus goals, and academic excellence.
Applicants must be enrolled in a PhD or Master's program at a partner university, demonstrating exceptional skills in neural networks, computer vision, or robotics.
This scholarship covers: The fellowship provides a comprehensive package including full tuition coverage, a generous living stipend, relocation assistance, and world-class industry mentorship.. It is a fully funded scholarship.
The deadline is Check official website (Typically late Autumn/Winter cycles). Always verify with the official website as dates may change annually.
Competition level: Very Low. Acceptance rate: Estimated < 1%. Strong academic record and clear motivation are essential.
Yes
Typically required: academic transcripts, passport, Proficiency in English (TOEFL/IELTS if applicable for international students), Yes (3 letters of recommendation from academic/industry experts) recommendation letters, CV, personal statement/motivation letter. Check official website for the complete list.