新加坡南洋理工大学招聘博士后—人工智能用于科学交叉领域

新加坡南洋理工大学招聘博士后—人工智能用于科学交叉领域

AI-for-X Postdoctoral Fellowship (AI4X-PDF) 2025 @ NTU Singapore

Employer

Nanyang Technological University (NTU)

Location

Singapore (SG)

Salary

SGD 100,000 to SGD 120,000 per annum + benefits

Closing date

31 Oct 2025

Website

https://www.ntu.edu.sg/research/research-careers/ntu-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 includingmedicine (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 2025-26 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 fundingCompetitive 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-levelteaching 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 2026

Each 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 in electronic format via NTU Online Application Portal by 31 October 2025, 23:59 (Singapore Time, UTC+8)

Applicants are required to submit the following:

Cover letter

Comprehensive CV (including Scopus Author ID and 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:

📧 FA-RSO@ntu.edu.sg

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