Applications are now open for the Singapore AI Safety Fellowship (SASH) 2026, an international research program designed to train emerging AI safety researchers while strengthening global collaboration on the governance and technical safety of advanced artificial intelligence systems. The fellowship offers participants the opportunity to spend three months in Singapore conducting high-impact research under the guidance of leading AI experts from universities, research institutes, and industry.
The application deadline is July 10, 2026, with the fellowship running from September 21 to December 4, 2026.
Singapore AI Safety Fellowship Aims to Advance Global AI Safety Research
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.
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.
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.
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.
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.
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.
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
- FAR.AI
- Concordia AI
- Lucid Computing
- Neo Research
Additional mentors are expected to be announced before the fellowship begins.
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.
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
The fellowship also provides guidance on mentor matching, housing arrangements, travel support, and visa requirements through its frequently asked questions section.
Singapore Continues Expanding Its Role in Global AI Governance
As governments and research institutions worldwide increase investment in AI safety, Singapore is positioning itself as an important international center for responsible AI development.
The Singapore AI Safety Fellowship reflects this broader ambition by bringing together researchers from different countries to work on pressing challenges involving frontier AI systems. Beyond producing academic research, the program seeks to cultivate long-term international partnerships capable of supporting future AI governance efforts.
By combining generous funding, expert mentorship, international collaboration, and policy engagement, the fellowship offers researchers a unique opportunity to contribute to one of the most important technological challenges of the coming decades.
Interested candidates are encouraged to submit their applications before the July 10, 2026 deadline.
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