The Singapore AI Safety Fellowship 2026 provides an international residential research track for technical scholars globally. Organised by recognized AI safety experts in Singapore, this fully funded initiative offers a monthly stipend of SGD 5,000 alongside substantial computational infrastructure up to USD 30,000. Eligible applicants must demonstrate a strong background in technical research and a commitment to responsible artificial intelligence development. Candidates must submit their online profiles before the final deadline on 10 July 2026 to secure entry into this three-month cohort.
Programme Highlights
| Organising Body | Mode | Duration | Location | Last Date to Apply |
| AI Safety Research Network (Singapore) | Offline (Residential) | 3 Months | Singapore | 10 July 2026 |
About the Programme
The core research mandate of the hosting body centers on mitigation strategies for existential risks, advanced algorithmic vulnerabilities, and socio-technical policy friction within current frontier frameworks. By establishing a highly secure environment for continuous theoretical evaluation, the organization attempts to build verifiable control layers before massive neural architectures deploy into public utilities. Notably, the primary purpose of this initiative is to create high-integrity solutions that bridge the technical safety gap between foundational machine learning theories and real-world deployment challenges.
Furthermore, participating in this program allows scholars to engage in cross-regional collaboration, intentionally blending Eastern and Western research perspectives to standardize international alignment metrics. This centralized cohort structure enables researchers to bypass traditional academic silos, accelerating peer-review cycles and collaborative validation. Accordingly, the Singapore AI Safety Fellowship 2026 serves as a vital platform for early-career computer scientists and policy analysts aiming to formalize structural security protocols across global technical ecosystems.
Eligibility Criteria
Academic Qualification
- Possession of an advanced or terminal degree in Computer Science, Data Science, Mathematics, or a highly relevant quantitative technical discipline from a recognized global university.
- Demonstration of an established background in technical research, verified through formal publications, institutional working papers, or advanced computational projects.
- Open to international candidates from any country, provided they meet standard domestic visa compliance criteria.
Experience & Other Conditions
- The fellowship carries a defined, non-extendable tenure of three months from 21 September to 4 December 2026, operating strictly as a full-time, residential research commitment.
- Applicants must display a genuine, documented interest in alignment methodologies, risk evaluation, or responsible machine learning development.
- Candidates must be fully comfortable operating within an international, multicultural, and multidisciplinary environment.
- Absolute commitment to relocate to Singapore for the entire duration of the term is mandatory.
Benefits & Funding
Selected fellows receive comprehensive financial coverage and infrastructural provisions to facilitate unhindered research operations throughout the specified term.
| Component | Amount or Detail |
| Monthly Stipend | SGD 5,000 per month |
| Accommodation | Fully covered residential housing in Singapore |
| International Travel Support | Round-trip international travel expenses |
| Visa Processing | Full administrative visa arrangement and support |
| Computing Resources | Up to USD 30,000 in dedicated cloud or cluster infrastructure |
| Dedicated Office Workspace | Secured workspace in central Singapore |
| Research Mentorship | Weekly one-on-one sessions with senior safety experts |
Topics / Themes Covered
- AI Alignment, optimization safety, and frontier model control metrics.
- Frontier AI Safety parameters, structural evaluation, and failure mode analysis.
- AI Governance, international legislative policy, and socio-technical deployment rules.
- Machine Learning Safety, adversarial robustness, and defensive architecture patching.
- Trustworthy Artificial Intelligence, mathematical model verification, and interpretability tracks.
Selection Process
- Comprehensive digital screening of submitted technical profiles, project proposals, and past publication records.
- Peer-based committee evaluation regarding the applicant’s research alignment with foundational safety tracks.
- Final administrative confirmation and direct execution of relocation paperwork for the empanelled cohort.
How to Apply
- Navigate to the official program page to access the digital candidate portal.
- Review the core research themes carefully to align your proposed project with active institutional domains.
- Complete the online application questionnaire, providing precise personal details and academic credentials.
- Upload an updated curriculum vitae, self-attested technical portfolios, and relevant research transcripts in the required format.
- Submit the finalized application package online through the system interface before the absolute closing threshold.
Important Dates
| Event | Date |
| Application Start Date | 04 July 2026 |
| Last Date to Apply | 10 July 2026 |
| Fellowship Commencement | 21 September 2026 |
| Fellowship Conclusion | 04 December 2026 |
Important Links
FAQs
1. What is the baseline eligibility for the Singapore AI Safety Fellowship 2026?
Applicants must demonstrate a strong background in technical research, possess a relevant quantitative background, and exhibit a genuine interest in responsible artificial intelligence development.
2. Does the program provide funding for international travel and housing?
Yes, the fellowship operates as a fully funded model, completely covering round-trip international transit, domestic visa arrangements, and regional accommodation.
3. Can candidates participate in the research tracks remotely?
No, this is strictly a full-time residential initiative, requiring all chosen fellows to physically relocate to Singapore for the entire three-month duration.
4. What scale of computational infrastructure is granted to individual projects?
Eligible research projects can receive up to USD 30,000 in dedicated computing resources to perform complex testing and evaluation.
5. When is the absolute deadline to complete the online submission form?
The electronic portal closes submissions entirely on 10 July 2026, meaning late entries will face immediate administrative exclusion.