Google PhD fellowship program 2023/24
Google PhD Fellowships directly support graduate students as they pursue their PhD, as well as connect them to a Google Research Mentor.
Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising PhD candidates of all backgrounds who seek to influence the future of technology. Google’s mission is to foster inclusive research communities and encourages people of diverse backgrounds to apply. We currently offer Fellowships in Africa, Australia, Canada, East Asia, Europe, India, Latin America, New Zealand, Southeast Asia and the United States.
How to apply
The details of each Fellowship vary by region. Please see our FAQ for eligibility requirements and application instructions.
Africa, India, and Southeast Asia
PhD students apply directly during the application window. Please see the FAQ for more information.
Africa
The Africa Google PhD Fellowship program application window is closed for the 2022 award cycle. Notification of decisions will be made by June 2022. Applications for the 2023 program will open in March 2023.
India
The Google PhD Fellowship India program application window is now open. Submit by 11:59:59pm UTC-12 (AOE) April 18, 2023. Notification of decisions will be made in July 2023.
Submit application
Southeast Asia
The Google PhD Fellowship Southeast Asia program application window is now open. Submit by 11:59:59pm UTC-12 (AOE) April 18, 2023. Notification of decisions will be made in July 2023.
Submit application
The best and the brightest
Google PhD Fellowship students are a select group recognized by Google researchers and their institutions as some of the most promising young academics in the world. The Fellowships are awarded to students who represent the future of research in the following fields:
- Algorithms, optimizations and markets
- Computational neural and cognitive sciences
- Health research
- Human-Computer interaction
- Machine learning
- Machine perception, speech technology and computer vision
- Mobile computing
- Natural language processing (including Information Retrieval and Extraction)
- Privacy and Security
- Programming Languages and Software Engineering
- Quantum computing
- Recommender systems
- Structured data and database management
- Systems and networking