Advancing AI Research Through Targeted Support in Singapore

The AI Singapore PhD Fellowship Programme 2026 Intake represents a strategic initiative to cultivate world-class talent in fundamental artificial intelligence research. Administered by AI Singapore, this programme channels resources toward PhD candidates at the country’s autonomous universities, fostering innovations that align with national priorities in trustworthy systems, efficient computing, and collaborative technologies.

Prospective fellows benefit from structured funding that covers tuition, living expenses, and professional development opportunities. The programme operates through university nominations, ensuring that only candidates with exceptional academic records and clear research visions advance. This approach strengthens Singapore’s position as a hub for AI excellence while preparing graduates for impactful roles in academia and industry.

Origins and Objectives of the Initiative

AI Singapore launched the PhD Fellowship Programme as part of its broader research efforts to build deep national capabilities in artificial intelligence. The core goal involves nurturing researchers capable of producing state-of-the-art algorithms, models, and systems. Fellows are expected to contribute to Singapore’s AI ecosystem through publications, collaborations, and participation in flagship initiatives such as 100Experiments and AI Grand Challenges.

By supporting full-time PhD studies at institutions including the National University of Singapore, Nanyang Technological University, Singapore Management University, and Singapore University of Technology and Design, the programme addresses the growing demand for specialized AI expertise. It welcomes applicants of all nationalities while particularly encouraging those from Singapore, permanent residents, and ASEAN nations.

Eligibility Requirements for Candidates

Applicants must demonstrate strong interest in fundamental AI research and secure admission to an AI-related PhD programme at one of the participating autonomous universities. New candidates apply through standard university channels, while existing students who have completed no more than two years of their PhD may also seek nomination.

Academic qualifications typically include at least a second-upper honours degree or equivalent in a relevant field such as computer science, engineering, or mathematics. The selection process evaluates research proposals, publication records, and alignment with programme themes. Transfer cases from other scholarships receive pro-rated support, with deliverables remaining consistent regardless of funding duration.

Core Research Themes Driving Innovation

The programme prioritizes five interconnected themes that reflect Singapore’s strengths and strategic needs. Collaborative AI explores human-AI and AI-AI interactions, knowledge representation, and transfer learning. Trustworthy and explainable AI emphasizes accountability, fairness, robustness, and transparency in intelligent systems.

Resource-efficient AI focuses on learning from limited datasets and human-AI co-design, suited to environments with high-quality but smaller data volumes. Privacy-aware AI advances techniques like federated learning to handle sensitive information responsibly. Continuous learning AI supports lifelong and self-supervised approaches toward more adaptive, generalizable systems.

Fellows are encouraged to concentrate on a single theme, though exceptional cases may pursue alternatives with prior approval. This focused structure ensures meaningful contributions to high-impact areas.

Comprehensive Funding and Support Packages

Awarded fellows receive full coverage of local tuition fees for up to four years. Monthly sustenance allowances vary by residency status: up to S$6,700 for Singaporeans, S$6,500 for permanent residents, and S$6,300 for international students. Singaporeans also receive Central Provident Fund contributions.

Additional provisions include computer allowances, miscellaneous support, and conference travel grants reaching S$8,000 for papers accepted at top-tier venues such as NeurIPS, ICML, CVPR, and ICLR. Fellows must acknowledge AI Singapore in all publications and meet minimum output requirements of four primary-author papers in approved venues.

International recipients face a two-year post-graduation service obligation with Singapore-based companies, which may be adjusted upon obtaining citizenship or permanent residency. Participation in AI Singapore programmes is mandatory throughout the award period.

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Application Timeline and Nomination Process

For the August 2026 intake, the programme follows a clear sequence beginning with the announcement on 6 February 2026. The nomination portal opens the same day and closes on 15 April 2026 at 5:00 PM Singapore Time. Universities handle initial recommendations before forwarding candidates to AI Singapore for evaluation.

Selection occurs between April and June 2026, with outcomes released by the end of June. Successful fellows commence studies in August 2026. Existing PhD students should consult their university’s graduate office for transfer-specific guidance, while new applicants follow each institution’s standard PhD admission deadlines.

University administrators access dedicated forms and endorsement templates through the official portal at phdfellowship.aisingapore.org. Detailed guidelines outline documentation requirements and evaluation criteria.

Role of Singapore’s Autonomous Universities

The National University of Singapore, Nanyang Technological University, Singapore Management University, and Singapore University of Technology and Design serve as primary hosts. Each maintains distinct PhD admission cycles aligned with the fellowship timeline.

These institutions provide the academic environment, supervision, and infrastructure necessary for rigorous research. Fellows gain access to world-class laboratories, interdisciplinary networks, and industry partnerships that amplify the programme’s reach. University graduate offices coordinate nominations and ensure compliance with both institutional and AI Singapore requirements.

Expectations, Deliverables, and Professional Development

Beyond funding, the programme imposes clear performance standards. Fellows must produce at least four publications as primary authors in top-tier conferences or journals during the supported period. Half-yearly reporting tracks progress, and all outputs require proper acknowledgement of support.

Travel grants facilitate presentation at premier events, enhancing Singapore’s global visibility in AI. Fellows also engage with broader AI Singapore activities, gaining exposure to real-world challenges and collaborative projects. These elements prepare graduates for leadership positions in research, academia, or technology development.

Broader Implications for Higher Education and the AI Sector

This fellowship strengthens Singapore’s higher education landscape by attracting and retaining exceptional talent. It complements existing scholarships while emphasizing fundamental research that underpins applied innovations. Graduates contribute to the local ecosystem, supporting economic growth in AI-driven industries.

The initiative aligns with national strategies to position Singapore as a global AI leader. By investing in early-career researchers, it builds long-term capacity in areas critical to trustworthy technology adoption and sustainable development.

Guidance for Prospective Applicants and Administrators

Strong applications highlight alignment with programme themes, a compelling research statement, and evidence of prior achievements. Candidates should secure supervisor support early and prepare documentation that demonstrates both technical excellence and societal impact potential.

Administrators at autonomous universities play a pivotal role in identifying and endorsing suitable nominees. Timely submission through the dedicated portal ensures consideration. Resources such as application guidelines and recommendation templates assist in preparing competitive submissions.

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Looking Ahead: Sustaining Momentum in AI Talent Development

The 2026 intake continues a proven model that has already supported numerous researchers. Future cycles will likely maintain emphasis on the five core themes while adapting to emerging priorities in artificial intelligence. Prospective candidates are advised to monitor the official AI Singapore website for updates on subsequent opportunities.

This programme exemplifies Singapore’s commitment to rigorous, impactful AI research training within its higher education institutions. It offers a clear pathway for dedicated scholars to advance knowledge and contribute meaningfully to the field.