Singapore AI Safety Fellowship 2026 Opens With S$5,000 Monthly Stipend for Global Researchers
Source: Global South Opportunities
Applications are open for the Singapore AI Safety Fellowship (SASH) 2026, a three-month residential programme offering emerging researchers S$5,000 monthly stipends, funded accommodation, and mentorship from leading AI experts. The fellowship runs from September to December 2026, with a July 10 deadline.
Applications are now open for the Singapore AI Safety Fellowship (SASH) 2026, an international research programme designed to train emerging AI safety researchers while strengthening global collaboration on the governance and technical safety of advanced artificial intelligence systems. The application deadline is July 10, 2026, with the fellowship running from September 21 to December 4, 2026.
The fellowship offers participants a comprehensive support package including a S$5,000 monthly stipend, fully funded accommodation, travel assistance, and up to USD 30,000 in computing resources for eligible research projects. Fellows will also receive dedicated office space in Singapore's Chinatown district, weekly mentorship sessions, and career development support. The programme is designed to be fully residential, with participants required to relocate to Singapore for the entire three-month duration.
The fellowship focuses on three strategic priorities: cross-regional collaboration between Eastern and Western institutions, technical research excellence on frontier AI systems, and translating research into practical policy recommendations. Confirmed mentors include experts from the National University of Singapore, Tsinghua University, Oxford Martin AI Governance Initiative, Anthropic, FAR.AI, and others. Distinguished advisors include Zhang Ya-Qin, Chair Professor at Tsinghua University, and Ryan Kidd, Co-Executive Director of the MATS Program.
Ideal applicants should demonstrate a strong record of technical research, interest in advancing beneficial AI outcomes, ability to work across cultures and disciplines, and commitment to full-time participation in Singapore. The application process includes a written application, standardised assessments, mentor-specific work tasks, and interviews.
Why it matters for Singapore: The AI Safety Fellowship positions Singapore as a serious hub for AI safety research, complementing the existing MAS SAFR framework and the city-state's broader AI governance ambitions. By bringing international researchers to Singapore and connecting them with local institutions like NUS, the programme builds long-term research capacity that will inform both Singapore's domestic AI governance frameworks and its growing influence in international AI safety conversations.