AI-for-X Postdoctoral Fellowship

Overview The NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF) , jointly supported by Nanyang Technological University (NTU)and Singapore's National Research Foundation (NRF) , is a prestigious programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI)to accelerate breakthroughs across science, technology, engineering, and mathematics including medicine (STEM) . Through AI4X-PDF, we aim to cultivate the next generation of research leaders working at the intersection of AI and STEM , driving innovation and strengthening Singapore's AI-for-Science ecosystem . Selected awardees will be co-funded by NRF Postdoctoral Award (NRF-PA) under this framework. Join us to advance your research, expand your network, and shape the future of AI-enabled scientific discovery. Why Apply NTU is a world-leading research-intensive university consistently ranked among the best globally. In the U.S. News World University Rankings by Subject, NTU was ranked 2nd in the world for Artificial Intelligence (AI) and Computer Science. It also ranked 5th in the world and 1st in Asia for Data Science and AI in the 2025 QS World University Rankings by Subject, and 12th globally in the overall QS World University Rankings 2026. NTU offers a vibrant and well-funded research ecosystem with a high proportion of early-career researchers, fostering a dynamic, collaborative, and interdisciplinary research culture. Its strong support for frontier research and innovation makes NTU an ideal place for emerging scientific leaders to grow and thrive. The AI4X-PDF is more than just a fellowship—it is a strategic career catalyst for early-career scientists poised to lead in AI-driven scientific discovery. Fellows will become part of a dynamic and collaborative research ecosystem at NTU, benefit from interdisciplinary mentorship , and access cutting-edge AI tools and computing infrastructure . The award provides a strong foundation to: Build a high-impact research portfolio Deepen expertise at the intersection of AI and science Develop strong international academic and research networks Accelerate the transition to tenure-track or equivalent leadership roles at top institutions worldwide This is a unique opportunity to shape the future of science using the power of AI. Key Features Up to 4 years of funding Competitive remuneration and benefits SGD 250,000 research grant Continued funding if transitioning to a tenure-track or equivalent role during the award period Access to NTU’s AI platforms , research facilities, and computing resources Structured AI training and mentorship from NTU faculty across AI and STEM disciplines Vital coaching on university-level teaching to aid transition to an academic career Eligibility Criteria Applicants must meet the following criteria: PhD (or equivalent) conferred in 2022 or later in any STEM field Strong academic and research record A compelling research proposal that clearly integrates AI to solve a scientific problem Must identify an NTU faculty member as a Project Mentor Available to commence the fellowship by 31 March 2026Each selected Fellow will be paired with: A Project Mentor in their research field An AI Mentor (assigned or selected post-award) to support AI integration How to Apply Applications must be submitted inelectronic formatviaNTU Online Application Portal by 31 October 2025, 23:59 (Singapore Time, UTC+8)Applicants are required to submit the following: Cover letter Comprehensive CV (includingScopus Author IDand full publication list)Official PhD transcript or certificate (in English)Research proposal (maximum 2 pages)Top 3 publications (in PDF format)Letter of support from the NTU Project Mentor (Attach the mentor letter together with the research proposal as a single file)Contact details of 2 referees , one of whom must be the PhD supervisor Any other supporting documents (if applicable)Contact For enquiries, please contact Fellowships & Awards (Research Support Office) at NTU: #J-18808-Ljbffr