The AISG PhD Fellowship Programme, funded by AI Singapore, supports top research talents pursuing full-time doctoral studies in artificial intelligence at Singapore-based Autonomous Universities (AUs). This prestigious fellowship offers generous monthly stipends, full tuition coverage, and conference allowances to develop state-of-the-art fundamental AI research.
Scholarship Overview
| Parameter | Details |
|---|---|
| Designation | AISG PhD Fellow / Doctoral Research Fellow |
| Host Country / Location | Singapore |
| Participating Universities | NUS, NTU, SMU, SUTD |
| Funding Type | Fully Funded (Up to 4 Years) |
| Monthly Stipend | Up to S$6,700 per month |
| Travel Allowance | Up to S$8,000 for AI conferences |
| Nationality | Open to all nationalities (No restriction) |
| Study Level | Full-time PhD / Existing PhD candidates (≤ 2 years) |
Scholarship Description
The AISG PhD Fellowship aims to nurture and groom local and international AI researchers capable of producing groundbreaking fundamental AI algorithms, models, and systems. Awardees will be empowered to publish in top-tier AI venues and actively contribute to Singapore’s dynamic artificial intelligence ecosystem.
Key Benefits:
- Full Tuition Fee Support: Covers tuition fees for up to 4 years of doctoral study.
- Monthly Stipend: Highly competitive stipend of up to S$6,700 monthly.
- Conference Grant: Attractive AI conference travel allowance of up to S$8,000.
- Global Visibility: Opportunities to publish at premier AI conferences (NeurIPS, ICML, CVPR, ACL, etc.) and participate in AI Singapore initiatives.
Key Research Areas
The fellowship supports research aligned with AI Singapore’s targeted capability-building focus themes:
- Trustworthy and Explainable AI: Developing transparent, interpretable models to boost adoption and maintain digital trust.
- Privacy-aware AI: Enabling models to train on sensitive datasets while strictly preserving user privacy and meeting regulatory standards.
- Resource-efficient AI: Algorithmic advancements in learning efficiently from compact, high-quality datasets with reduced compute requirements.
- Collaborative AI: Advancing natural language processing (NLP), multi-agent systems, and diverse human-AI collaborative testbeds.
- Continuous Learning AI: Building autonomous, incremental learning AI frameworks aimed toward Artificial General Intelligence (AGI).
Eligibility & Qualifications
- Academic Status: Applicants intending to pursue a full-time PhD or existing PhD candidates who are two (2) years or less into their doctoral candidature at a Singapore-based AU.
- Focus: Demonstrated strong interest, background, and capability in fundamental AI research.
- Nationality: Open to all nationalities. Singapore Citizens, Singapore Permanent Residents (SPRs), and ASEAN nationals are strongly encouraged to apply.
Participating Universities and Application Deadlines
Deadlines vary based on the respective university’s intake cycles:
1. Nanyang Technological University (NTU)
- August Intake: 01 October (prior year) to 31 January (intake year)
- January Intake: 01 June (prior year) to 31 July (prior year)
2. National University of Singapore (NUS)
- August Intake:
- School of Computing (SoC): 15 December (prior year)
- Engineering (International / Local Round 1): 01 January (intake year)
- Engineering (Local Round 2): 01 April (intake year)
- January Intake:
- School of Computing (SoC): 15 June (International) / 15 September (Local)
- Engineering: 01 July (International / Round 1) / 01 September (Local / Round 2)
3. Singapore Management University (SMU)
- August Intake: 01 August (prior year) to 31 January (intake year)
- January Intake: 01 February (prior year) to 30 June (prior year)
4. Singapore University of Technology and Design (SUTD)
- September Intake: 31 March (intake year)
- January Intake: 30 September (prior year)
How to Apply
- University Admission: Submit an application for full-time PhD admission directly to the participating university of your choice (NUS, NTU, SMU, or SUTD).
- Indicate Interest / Nomination: Indicate your interest in the AISG PhD Fellowship during your PhD application or coordinate with your prospective PhD supervisor for fellowship nomination.
- Prepare Documents: Ensure research proposals, CVs, endorsement forms, and reference letters clearly highlight your focus on fundamental AI research.
Apply Link & Official Guidelines
For official fellowship guidelines, application templates, and detailed nomination instructions, visit the AI Singapore portal:
Apply Now at AI Singapore PhD Fellowship Official Page
