Are you a young researcher who is enthusiastic about using artificial intelligence (AI) to advance science? The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF) 2025 provides a distinguished and fully funded opportunity to further research at the nexus of AI and STEM fields, including medicine. It is jointly supported by Nanyang Technological University (NTU), Singapore, and the Singapore National Research Foundation (NRF).
The goal of this fellowship is to develop the next wave of international research leaders while encouraging creativity and bolstering Singapore’s AI-for-Science ecosystem. In addition to having a PhD in a STEM field—science, technology, engineering, mathematics, medicine, or the biological sciences—applicants must also show a significant aptitude for groundbreaking work that connects artificial intelligence with scientific advancement.
Host Country: Singapore
University: Nanyang Technological University Singapore
Opportunity Type: Fellowship
Subjects: Science Education, Engineering, Technology, Artificial Intelligence
Eligibility Country: International Students
Financial Coverage: Fully Funded
Eligibility Criteria:
- Academic Requirement: Must possess a PhD in a STEM field, or its equivalent, granted in 2022 or later.
- Research Excellence: Must exhibit a good track record of academic success and research accomplishments.
- Research plan: In order to address scientific difficulties, a well-stated plan integrating artificial intelligence is required.
- The requirement for mentorship is that applicants find a faculty member at NTU to act as their project mentor.
- Availability: The fellowship must start by March 31, 2026, at the latest.
Benefits:
- Funding Duration: Up to four years of fellowship assistance.
- Pay Package: Competitive perks and competitive pay.
- Research Grant: SGD 250,000 in funding, with ongoing assistance provided until the candidate moves into a tenure-track position or something similar.
- Research Resources: Complete use of NTU’s cutting-edge AI systems and sophisticated computer infrastructure.
- Training & Mentorship: Multidisciplinary direction from top-notch NTU faculty members along with structured AI training.
- Career Development: Personalized guidance on teaching at the university level to support academic career advancement.
- Opportunities for Collaboration: Wide-ranging connections and alliances across the international AI and STEM communities.
Deadline: 31 October 2025
