About the opportunity
What this programme is offering
The Singapore AI Safety Fellowship is an independent, full-time residential research program that connects talented researchers with experienced mentors working on frontier AI safety and governance. The initiative seeks to bridge technical research with practical policymaking, ensuring that AI research contributes to real-world safety and governance challenges.
Machine Learning & Artificial Intelligence
Hosted in Singapore, the fellowship leverages the country’s position as an internationally connected hub for technology, innovation, and public policy to encourage meaningful collaboration between researchers from different regions.
The program is specifically designed for individuals who want their research to influence both academic understanding and practical AI safety implementation.
Vehicle & Traffic Safety
Fellows Receive Competitive Financial and Research Support
Successful applicants will receive a comprehensive support package throughout the fellowship, allowing them to focus entirely on their research projects.
Key benefits include:
SGD 5,000 monthly stipend
Fully funded accommodation throughout the fellowship
Housing support for the full three-month residency
Travel assistance
Up to USD 30,000 in computing resources for eligible research projects
Dedicated office space located in Singapore’s Chinatown district
Weekly mentorship sessions with leading AI researchers
Research management and career development support
Networking events, workshops, seminars, and community activities
This funding package is intended to remove financial barriers while providing access to world-class research infrastructure.
Study Grants & Scholarships
Fellowship Built Around Three Core Pillars
The Singapore AI Safety Fellowship focuses on three strategic priorities that reflect the growing international importance of AI governance.
Dictionaries & Encyclopedias
Cross-Regional Collaboration
The fellowship brings together researchers from Eastern and Western institutions to strengthen international cooperation in AI safety. By fostering trusted professional relationships, the program aims to improve global coordination on emerging AI challenges.
Technical Research Excellence
Participants work closely with experienced mentors to investigate technical questions surrounding frontier AI systems. Research topics are expected to contribute to making advanced AI more secure, reliable, and trustworthy.
Translating Research into Policy
In addition to technical work, fellows learn how to communicate complex AI concepts to policymakers and institutions. The fellowship encourages research that can inform governance frameworks and practical policy recommendations.
Health Foundations & Medical Research
Distinguished Advisors and Mentors Support Fellows
The fellowship is supported by internationally recognized advisors, including Zhang Ya-Qin, Chair Professor at Tsinghua University, and Ryan Kidd, Co-Executive Director of the MATS Program.
Psychology
Participants will also receive mentorship from an impressive network of AI researchers representing leading universities and organizations worldwide.
Confirmed mentors include experts from:
National University of Singapore (NUS)
Tsinghua University
Fudan University
Hunter College, City University of New York
Hebrew University
Oxford Martin AI Governance Initiative
Anthropic
Concordia AI
Lucid Computing
Neo Research
Additional mentors are expected to be announced before the fellowship begins.
Scientific Institutions
This diverse mentorship network gives fellows exposure to multiple perspectives across AI alignment, technical safety, governance, machine learning, and AI policy.
Who Should Apply?
The Singapore AI Safety Fellowship is intended for emerging researchers with strong technical capabilities who are eager to contribute to responsible AI development.
Ideal applicants should demonstrate:
A strong record of technical research
Interest in advancing beneficial AI outcomes for society
Ability to work across cultures and academic disciplines
Commitment to full-time participation in Singapore
Because the fellowship is residential, successful candidates must relocate to Singapore for the entire three-month duration.
Travel Guides & Travelogues
Application Process
The application process has been designed to evaluate both technical ability and research potential.
Applicants should expect the following stages:
Written application requiring approximately one hour to complete
Standardized assessments for shortlisted candidates
Mentor-specific work task and/or interview
Final selection
How to apply