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Nanyang Technological University

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NTU AI-for-X Postdoctoral Fellowship in AI for STEM Research Nanyang Technological University in Singapore

Degree Level

Postdoc

Field of study

Computer Science

Funding

Up to 4 years of funding with competitive remuneration and benefits, a SGD 250,000 research grant, access to NTU AI platforms, research facilities, and computing resources, structured AI training and mentorship, and continued funding if transitioning to a tenure-track or equivalent role during the award period.

Deadline

Oct 30, 2026

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Country

Singapore

University

Nanyang Technological University

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Keywords

Computer Science
Chemistry
Biomedical Engineering
Medicine
Biology
Mathematics
Artificial Intelligence
Technology Innovation
Medical Science
Giscience
Technical Engineering
Statistics
Physics
Post Doc

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About this position

NTU is offering the AI-for-X Postdoctoral Fellowship (AI4X-PDF), a prestigious postdoctoral opportunity jointly supported by Nanyang Technological University and Singapore’s National Research Foundation. The fellowship is designed for early-career researchers who use Artificial Intelligence to accelerate breakthroughs across science, technology, engineering, mathematics, and medicine.

Successful fellows will work at the intersection of AI and STEM, with access to NTU’s AI platforms, research facilities, and computing resources. The programme includes structured AI training, mentorship from NTU faculty, and coaching on university-level teaching to support progression toward tenure-track or equivalent academic roles.

Funding includes up to 4 years of support, competitive remuneration and benefits, and a SGD 250,000 research grant. Fellows may continue to receive funding if they transition into a tenure-track or equivalent position during the award period.

Eligibility: applicants must have a PhD (or equivalent) awarded within the past 3 years (2023 or later) in a STEM field, a strong academic and research record, and a research proposal that clearly integrates AI to solve a scientific problem. Applicants must also identify an NTU faculty member as Project Mentor and be able to commence by 31 March 2027.

Application: submit electronically through the NTU Online Application Portal. Required materials include a cover letter, CV with Scopus Author ID and full publication list, official transcript or degree certificate in English, a research proposal (max 2 pages), contact details for two referees (one must be the PhD supervisor), top 3 publications, and a mentor support letter uploaded with the proposal.

Deadline: 30 October 2026, 23:59 Singapore time. An online briefing session is also available for prospective applicants.

Funding details

Up to 4 years of funding with competitive remuneration and benefits, a SGD 250,000 research grant, access to NTU AI platforms, research facilities, and computing resources, structured AI training and mentorship, and continued funding if transitioning to a tenure-track or equivalent role during the award period.

What's required

Applicants must have a PhD (or equivalent) conferred within the past 3 years (in 2023 or later) in a STEM field, a strong academic and research record, and a compelling research proposal that clearly integrates AI to solve a scientific problem. Applicants must identify an NTU faculty member as a Project Mentor and be available to commence the fellowship by 31 March 2027. Two referees are required, including one PhD supervisor, and a mentor support letter must be submitted with the proposal.

How to apply

Submit the application electronically via the NTU Online Application Portal. Prepare the required documents, including cover letter, CV, transcript or degree certificate, research proposal, referee contacts, top 3 publications, and mentor support letter. Register for an optional online briefing session if you want more details before applying.

More information can be found here

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