Events & Conferences

Funded Singapore AI Safety Fellowship 2026 — Stipend + Housing

Faseeh Sultan

July 6, 2026
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Funded Singapore AI Safety Fellowship 2026 — Stipend + Housing

If there is one research opportunity in 2026 that sits at the intersection of cutting-edge technical work and real-world global impact, this is it. The Singapore AI Safety Fellowship — run by the Singapore AI Safety Hub (SASH) — is a fully funded, three-month residential research program in Singapore, offering international researchers a SGD 5,000 monthly stipend, covered housing and travel, and up to USD 30,000 in compute for qualifying projects. The application deadline is July 10, 2026, and the fellowship runs from 21 September to 4 December 2026. If you are a researcher who wants your work to shape how AI develops safely — not just sit on a shelf — read every word of this guide.

Detail	Information
Organization	Singapore AI Safety Hub (SASH)
Country	Singapore
Program Type	Independent Research Fellowship
Duration	3 months (21 Sep – 4 Dec 2026)
Stipend	SGD 5,000 per month
Additional Benefits	Housing + travel covered
Compute	Up to USD 30,000 per project
Application Deadline	July 10, 2026
Open To	International researchers worldwide
Official Link	Singapore AI Safety Fellowship

🎓 About the Singapore AI Safety Fellowship

The Singapore AI Safety Hub (SASH) is an independent organization building a global ecosystem for trustworthy AI. Its flagship program — the Singapore AI Safety Fellowship — connects talented early-career and mid-career researchers with leading mentors across technical AI safety and AI governance, bringing them together for three months of intensive, in-person research in one of the world’s most strategically connected cities.

What makes this fellowship genuinely different from other AI research programs is its deliberate cross-regional design. SASH brings together researchers from East and West to build the kind of trusted relationships that sustained international AI safety collaboration requires. Singapore’s position as a globally connected, policy-engaged hub — bridging Asia’s largest AI actors with Western research institutions — makes it the ideal venue for exactly this kind of work.

The program is advised by Ryan Kidd, Co-Executive Director of the MATS Program — one of the most respected AI safety research mentorship programs in the world. That advisory relationship signals the seriousness of SASH’s research standards and ambitions.

This is not a training course or a reading group. Fellows are expected to produce research outputs — typically a paper, but other formats are open — that contribute directly to the AI safety field while also being grounded in real-world application and policy.

🎓 Benefits and Funding

Here is exactly what accepted fellows receive:

SGD 5,000 per month — a competitive living stipend for the full three months
Housing provided — accommodation is covered for fellows relocating to Singapore
Travel covered — return flights to and from Singapore are arranged for fellows
Up to USD 30,000 in compute — for projects that require significant computational resources
Weekly mentor meetings — with established AI safety researchers guiding your project
Dedicated Research Manager — to remove blockers, track progress, and support your next career steps
Central office space — SASH’s hub in Chinatown, Singapore’s most storied historic district
Community events — talks, workshops, and social events with mentors, peers, and AI safety/governance professionals
Visa support — SASH arranges visas for accepted international fellows

Note: The exact SGD equivalent of the monthly stipend’s purchasing power in Singapore should be verified against current living costs when planning your move (verify on official website).

🎓 Eligibility Criteria

The official eligibility requirements as stated on the SASH website are:

A track record of strong technical research — prior research output is expected, not just academic credentials
Genuine interest in steering AI’s development toward good outcomes for humanity — this is a values-aligned program
Comfort operating across cultures and disciplines — the fellowship is deliberately cross-regional
Ability to commit full-time and relocate to Singapore for the three-month duration (21 September – 4 December 2026)

English language requirement: The fellowship operates entirely in English, and info sessions are offered in both English and Mandarin. No specific IELTS or TOEFL score requirement is stated on the official website — your research track record and application quality carry the weight. (Verify directly with SASH if a formal language document is required for your visa or application.)

The fellowship is open to international researchers worldwide — no nationality restriction is listed.

🎓 Who Should Apply / Who Shouldn’t

✅ Strong fit if you:

Have a research background in ML, AI systems, alignment, interpretability, or AI governance
Want your work to directly inform AI safety practice — not just be published
Are comfortable working in a cross-cultural, interdisciplinary environment
Can commit fully to Singapore residency for three months from September 2026
Are at an early-to-mid career stage and looking for mentorship alongside research output

❌ Not a fit if you:

Cannot relocate to Singapore full-time — there is no remote or part-time option
Are looking for a degree program or academic course structure
Have no prior research experience or publications to demonstrate
Need a program with more flexibility around side commitments (though small side commitments are mentioned as usually acceptable)

🎓 Research Areas and Mentors

SASH’s fellowship covers the full spectrum of AI safety research — from deep technical work to governance and policy application. Research outputs are expected to bridge both.

Confirmed mentors for the 2026 cohort include researchers from institutions that span continents and disciplines:

Tsinghua University (China) — Dong Yinpeng, Xu Mengdi
Fudan University (China) — Pan Xudong
National University of Singapore — Tan Zhi Xuan, Min-Yen Kan, Mohan Kankanhalli (Director, NUS AI Institute)
Oxford Martin AI Governance Initiative — Ben Harack
Hebrew University — Noam Kolt
Hunter College, CUNY — Konstantinos Krampis
Anthropic — James Chua (Member of Technical Staff)
FAR.AI — Lukas Struppek
Concordia AI — Jinge Wang
Lucid Computing — Kristian Rönn (Co-founder and CEO)
International AI Safety Report 2025 — Soren Mindermann (Scientific Lead)

Additional mentors will be announced ahead of the fellowship start date. Applicants rank preferred mentors and research areas when applying; mentors reciprocally rank shortlisted candidates. SASH uses both rankings to make the final match.

🎓 Required Documents

Based on the application process described on the official website:

Written application — approximately one hour to complete (via Airtable form)
CV / Academic Resume — highlighting your research track record and publications
Research area and mentor preferences — ranked in the application form
Standardized assessments — for shortlisted candidates only
Mentor-specific work task and/or interview — for candidates reaching the final stage

Always download the application form directly from the official SASH program page to confirm whether any additional documents are required.

🎓 Step-by-Step Application Process

Read the full program details at the Singapore AI Safety Fellowship page — understand the pillars, mentor profiles, and what is expected of fellows.
Attend an info session if you can — SASH hosted English and Mandarin sessions on July 1–2, 2026. Check for any additional sessions before the deadline.
Shortlist your preferred mentors by reviewing each mentor’s research focus on the SASH website.
Complete the written application via the Airtable application form — budget approximately one hour.
Rank your research areas and mentor preferences within the application form.
Submit before July 10, 2026 — there is no indication of rolling review, so do not leave this to the last day.
Complete assessments and work tasks if shortlisted — these are mentor-specific, so tailor your preparation to the mentor’s published research.

Practical tip: Review at least two or three recent papers by your top mentor choices before applying. Your application will be stronger — and your mentor ranking more credible — if you can speak specifically to how their work connects to yours.

🎓 Important Dates

Milestone	Date
Application Deadline	July 10, 2026
Fellowship Start	21 September 2026
Fellowship End	4 December 2026
Duration	3 months

📌 Bookmark this page and check back for updates — SASH may announce shortlisting timelines and additional information sessions ahead of the deadline.

🎓 Why Apply — Why Singapore

Singapore is one of the most strategically positioned cities on the planet for AI safety work in 2026. As one of Asia’s leading technology and policy hubs, it sits at the meeting point between the world’s largest AI developers — in the US, China, and Europe — and the international governance conversations happening at the UN, G20, and beyond.

What makes SASH’s approach distinctive is its explicit commitment to East-West research collaboration. Most AI safety fellowships are based in the US or UK and draw primarily from Western research networks. SASH’s mentor roster — spanning Tsinghua, Fudan, NUS, Oxford, Hebrew University, Anthropic, and FAR.AI — reflects something rarer: a genuine effort to build the trusted cross-regional relationships that meaningful AI safety coordination requires.

The fellowship office sits in Chinatown, Singapore — one of the city-state’s most vibrant and historically rich neighborhoods, with excellent connectivity to the rest of the island. Singapore’s world-class infrastructure, safety, and quality of life make the three-month residency a genuinely comfortable experience for international researchers.

From a career perspective, fellows who complete serious AI safety research here will emerge with mentor relationships, international co-authors, and a network that spans the field’s most active organizations — from Anthropic and FAR.AI to the NUS AI Institute and the Oxford Martin School.

🎓 Frequently Asked Questions

Q: Is the application open to researchers from all countries? A: Yes. No nationality restriction is listed. The fellowship is explicitly designed to bring together researchers from diverse global backgrounds.

Q: Can I participate remotely or part-time? A: No. The fellowship is in-person and full-time in Singapore. Small side commitments are usually fine and can be mentioned in the application.

Q: What research output is expected? A: Typically a research paper, though SASH is open to other formats if they better suit the project.

Q: How does mentor matching work? A: You rank preferred research areas and mentors in your application. Shortlisted candidates are then reviewed by mentors, who also rank their preferred candidates. SASH uses both sets of preferences to make the final match.

Q: Do I need to arrange my own visa? A: No. SASH will arrange visas for accepted fellows.

Q: Can fellows work in teams? A: Some mentors work with fellows individually, others in teams. Either way, collaboration between fellows is common and encouraged.

🎓 Official Source

Fellowship Page: Singapore AI Safety Fellowship — SASH
Application Form: Apply via Airtable
SASH Website: aisafety.sg
Twitter/X: x.com/aisafetysg
LinkedIn: Singapore AI Safety Hub

🎓 Summary Table

Detail	Information
Organization	Singapore AI Safety Hub (SASH)
Country	Singapore
Program Type	Independent Research Fellowship (In-Person)
Duration	3 months — 21 Sep to 4 Dec 2026
Monthly Stipend	SGD 5,000
Housing	Provided (for non-Singapore residents)
Travel	Covered (return flights)
Compute	Up to USD 30,000 per project
Visa	Arranged by SASH for accepted fellows
Application Deadline	July 10, 2026
Open To	International researchers worldwide
Expected Output	Research paper (or alternative format)
Application Method	Airtable form (~1 hour)