Applications for the Singapore AI Safety Fellowship are now open. This is a three-month residential research program focused on a technical field. A.I. Safety, governance, and international research collaboration.
This full-time fellowship will be conducted in Singapore from 21 September to 4 December 2026. Applications close on July 10th.
Participants will receive a monthly stipend of S$5,000, which will cover their housing costs and travel expenses to and from Singapore. Individual research projects can also receive up to $30,000 in computing resources.
This program is aimed at emerging researchers with a track record of technical research, an interest in AI safety, and the ability to work across cultures and disciplines. Successful applicants will use visas arranged by the Fellowship to move to Singapore and undertake the entire program.
SASH, which runs the program, has identified leaders from universities and AI organizations such as the National University of Singapore, Tsinghua University, Fudan University, Anthropic, Concordia AI, FAR.AI, and the Oxford Martin AI Governance Initiative.
Applications close on July 10th
Applicants begin by filing a written application. SASH estimates that it will take approximately 1 hour to complete.
Shortlisted candidates complete a standardized assessment, followed by mentor-specific tasks, an interview, or both.
Applicants rank their preferred research areas and mentors. Mentors also rank final candidates using both settings to determine project suitability.
This fellowship is full-time and cannot be completed remotely. SASH says it may be able to accept small external commitments if applicants disclose them during the selection process.
“This fellowship was established for researchers who want their research to inform real-world AI safety practices,” SASH wrote on LinkedIn.
We will hold two online information sessions before the application deadline. The English session is scheduled for July 1st at 8pm Singapore time, and the Chinese session will be held on July 2nd at 5pm Singapore time.
Mentor spans technical safety and AI governance
Fellows meet weekly with experienced researchers and receive additional support from a dedicated research manager.
Confirmed leaders include Soren Minderman, Scientific Director of the 2025 International AI Safety Report; Tan Zhi Xuan and Min-Yen Kan from the National University of Singapore; Dong yingpeng and Xu Mengdi from Tsinghua University. and Mr. Pan Xiaodong of Fudan University.
The mentor group also includes James Chua of Anthropic, Jinge Wang of Concordia AI, Lukas Struppek of FAR.AI, Noam Kolt of Hebrew University, and Konstantinos Krampis of Hunter College, City University of New York.
Mohan Kankanhari, Director of the AI Institute and Presidential Professor of Computer Science at the National University of Singapore, will be joined by co-leaders Harry Chen and Wong Yong Kang.
Ryan Kidd, co-executive director of the MATS program, is advising on the fellowship. SASH says additional mentors will be announced before the cohort begins.
Projects can be completed individually or in teams, depending on the mentor and research question. The expected output is usually a research paper, but other formats may be acceptable if more appropriate for the project.
Research covers safety, drugs, and uncontrollability
The fellowship identifies technical AI safety, agent governance, and uncontrollability as key research areas.
The project will explore ways to make advanced AI systems safer, more secure, and easier to manage. The program will also focus on translating technical research into policy frameworks and recommendations that agencies can use.
The second part of the program brings together researchers working across Eastern and Western institutions. SASH said the Singapore hub aims to support collaboration between universities, AI organizations and policy communities from different regions.
Fellows will work from SASH’s office in Singapore’s Chinatown district. The program will also include talks, workshops, and events featuring mentors, researchers, and people involved in AI safety and governance.
Applications are being accepted until July 10th. The selected cohort will begin work in Singapore on September 21 and conclude their fellowship on December 4, 2026.
