- Location
- Singapore
- Application deadline
- July 10, 2026
The Singapore AI Safety Fellowship
Training researchers who make international AI safety research cooperation possible
- 3 months in Singapore
- 21 September – 4 December 2026
- $5k SGD/month
- Stipend, plus housing and travel
- Up to $30k USD compute
- Compute per project
Details
What is the Singapore AI Safety Fellowship?
The Singapore AI Safety Fellowship is an independent research fellowship that connects fellows with leading mentors working on technical AI safety and governance. Fellows conduct research for three months in Singapore, building the skills and relationships for international coordination on AI safety.
It's built for researchers who want their work to inform real-world AI safety practice, on top of publishing it. Singapore's role as a globally connected, policy-engaged hub makes that possible.
Chair Professor, Tsinghua University, Founding Dean, Founding Dean of Institute for AI Industry Research (AIR)
Co-Executive Director, MATS Program
Three Pillars
01
Cross-regional collaboration
We bring together researchers from the East and the West to build the trusted relationships and shared understanding needed for sustained AI safety collaboration across borders.
02
Technical depth and research excellence
Guided by experienced researchers and advisors, fellows investigate some of the most pressing challenges in making frontier AI systems safe, secure, and trustworthy.
03
Applying research to policy
Providing the institutional partnerships and collaborations for research projects to be grounded in real-world application. Fellows learn to translate complex technical ideas into practical frameworks and policy recommendations.
What fellows receive
Mentorship from experienced researchers
Weekly meetings with established AI safety researchers to guide your project.
Research and career support
Dedicated Research Managers support fellows to stay on track, remove blockers, and plan next steps in your career.
Stipend and housing
$5,000 SGD per month, with housing provided throughout the fellowship.
Compute
Up to $30,000 USD in compute for projects that require it.
Central office space in the city
Fellows work from SASH’s hub right in the heart of Chinatown — Singapore's most storied historic district.
Community and events
Talks, workshops, and social events with mentors, peers, and people working across AI safety and governance.
Mentors
A selection of confirmed mentors is listed below. Additional mentors will be announced ahead of the fellowship's start date.
Ben Harack
Affiliate, Oxford Martin AI Governance Initiative
Soren Mindermann
Scientific Lead, 2025 International AI Safety Report
James Chua
Member of Technical Staff, Anthropic
Lukas Struppek
Member of Technical Staff, FAR.AI
Dong Yinpeng
Assistant Professor, Tsinghua University
Clement Neo
Founder, Neo Research
Jinge Wang
AI Safety Research Engineer, Concordia AI
Pan Xudong
Assistant Professor, Fudan University
Mohan Kankanhalli (supported by Co-Mentors, Wong Yong Kang and Harry Cheng)
Director of NUS AI Institute, Provost’s Chair Professor of Computer Science, National University of Singapore (NUS)
Kristian Rönn
Co-founder and CEO, Lucid Computing
Jonathan Happel
Founder & CEO of TamperSec
Harry Cheng (co-mentoring with Mohan Kankanhalli and Wong Yong Kang)
Research Fellow at National University of Singapore (NUS)
Wong Yong Kang (co-mentoring with Mohan Kankanhalli and Harry Cheng)
Assistant Director (Operations) of the NUS Artificial Intelligence Institute (NAII), Senior Research Fellow at National University of Singapore (NUS)
Tan Zhi Xuan
Assistant Professor, National University of Singapore (NUS)
Noam Kolt
Assistant Professor, Hebrew University
Min-Yen Kan
Associate Professor, National University of Singapore (NUS)
Xu Mengdi
Assistant Professor, Tsinghua University
Konstantinos Krampis
Associate Professor of Biological Sciences and Computer Science at Hunter College, CUNY
Who should apply
This fellowship is for emerging talented researchers ready to do serious work in an international, collaborative environment. Candidates should also demonstrate:
- A track record of strong technical research
- Genuine interest in helping steer AI's development toward good outcomes for humanity
- Comfort operating across cultures and disciplines
This is a full-time, residential fellowship — fellows relocate to Singapore for three months.
FAQ
What does the application involve?
A written application (~1 hour), then standardized assessments for shortlisted candidates, followed by a mentor-specific work task and/or interview.
How does mentor matching work?
When you fill out the application form, you'll rank your preferred research area and mentors. Mentors will review shortlisted applications and from their end rank their preferred candidates - we use both to make the best match.
Can I participate remotely?
It's an in-person program in Singapore.
Can I participate part-time?
The fellowship is full-time. Small side commitments are usually fine and you can mention them in your application.
What outputs are expected?
Usually a research paper, but we're open to other formats if they suit the project.
Can fellows work in teams?
Some mentors have fellows work in teams, others work one-on-one. Either way, collaboration between fellows is common and encouraged.
What about housing and travel?
We cover travel to and from Singapore. If you don't already live here, you'll get accommodation covered, on top of your stipend.
Do I need a visa?
We will arrange for visas for accepted fellows to the program.
Interested in The Singapore AI Safety Fellowship?
Reach out to SASH to ask about applications, future cohorts, or related programs.