NTU AI-for-X Postdoctoral Fellowship 2026 in Singapore: Up to 4 Years of Funding, SGD 250,000 Research Grant and AI Research Opportunities

The NTU AI-for-X Postdoctoral Fellowship 2026 is a prestigious postdoctoral research opportunity in Singapore designed for outstanding early-career researchers seeking to apply Artificial Intelligence (AI) to scientific discovery and advance research across science, technology, engineering, mathematics and medicine.

Jointly supported by Nanyang Technological University (NTU) and Singapore’s National Research Foundation (NRF), the AI-for-X Postdoctoral Fellowship (AI4X-PDF) seeks to attract promising researchers who can use AI to address important scientific problems and contribute to the development of Singapore’s AI-for-Science ecosystem.

The programme is particularly relevant to researchers working at the intersection of Artificial Intelligence and STEM disciplines, offering a combination of research funding, competitive remuneration, access to advanced computing and research infrastructure, mentorship, AI training and academic career development.

For researchers who have recently completed a PhD and are looking to establish an independent research profile, the fellowship provides an opportunity to develop ambitious research while working within one of Singapore’s leading research universities.

Opportunity Overview

• Opportunity: NTU AI-for-X Postdoctoral Fellowship (AI4X-PDF) 2026
• Host institution: Nanyang Technological University (NTU)
• Location: Singapore
• Opportunity type: Postdoctoral Fellowship
• Research focus: Artificial Intelligence applied to Science, Technology, Engineering, Mathematics and Medicine
• Funding duration: Up to 4 years
• Research grant: SGD 250,000
• PhD requirement: PhD or equivalent in a STEM field, conferred in 2023 or later
• Mentorship: Project Mentor and AI Mentor
• Expected commencement: By 31 March 2027
• Application deadline: 30 October 2026 at 23:59 Singapore Time (UTC/GMT+8)
• Application method: Online application through NTU’s application portal

About the NTU AI-for-X Postdoctoral Fellowship

The NTU AI-for-X Postdoctoral Fellowship is designed around the idea of using Artificial Intelligence as a powerful tool for scientific research and discovery.

Rather than focusing exclusively on conventional AI research, the fellowship encourages researchers to explore how AI can be integrated into other scientific and technological disciplines to address complex research questions.

The programme therefore targets researchers who can demonstrate both strong scientific expertise and a clear vision for applying AI to meaningful scientific challenges.

The fellowship forms part of NTU’s broader research ecosystem and is jointly supported by NTU and Singapore’s National Research Foundation. Successful fellows will be co-funded through the NRF Postdoctoral Award (NRF-PA) framework.

Through this model, fellows can develop research at the intersection of AI and STEM while gaining access to an environment intended to nurture future research leaders.

Why the NTU AI-for-X Fellowship Is a Significant Opportunity

Artificial Intelligence is increasingly being used to accelerate scientific discovery, analyse complex datasets, develop predictive models, improve experimentation and address problems that would otherwise require significant amounts of time and resources.

The AI4X-PDF responds to this growing role of AI in scientific research by supporting researchers who can combine disciplinary expertise with AI-driven approaches.

The fellowship can therefore be particularly valuable for researchers who want to:

• Develop an independent research programme.
• Apply AI techniques to scientific problems.
• Build a strong international research profile.
• Work alongside researchers across different STEM disciplines.
• Access advanced AI platforms and computing infrastructure.
• Receive structured mentorship from experienced researchers.
• Strengthen their academic career prospects.
• Develop research that could contribute to future scientific breakthroughs.
• Prepare for future tenure-track or equivalent academic positions.

The programme is positioned not simply as a short-term postdoctoral appointment but as a platform for developing researchers into future scientific and academic leaders.

Key Benefits of the NTU AI-for-X Postdoctoral Fellowship

1. Up to Four Years of Funding

One of the major attractions of the fellowship is its potential duration. Selected researchers can receive up to four years of funding, providing a substantial period in which to develop and advance an ambitious research programme.

A longer fellowship period can allow researchers to move beyond preliminary investigations and develop deeper research programmes, publications, collaborations and scientific outputs.

2. Competitive Remuneration and Benefits

Successful fellows will receive competitive remuneration and benefits as part of the fellowship package.

This provides financial support while researchers concentrate on their research and professional development at NTU.

3. SGD 250,000 Research Grant

The fellowship includes a substantial SGD 250,000 research grant.

This research funding can provide an important foundation for developing a research programme, supporting the resources and activities required to investigate the proposed scientific problem.

For early-career researchers seeking to establish a distinctive research profile, access to dedicated research funding can also strengthen their ability to pursue ambitious projects.

4. Continued Funding During a Transition to a Tenure-Track Role

The programme also provides continued funding if a fellow transitions to a tenure-track or equivalent position during the award period, subject to the programme’s conditions.

This feature can make the fellowship particularly attractive to researchers who have long-term academic ambitions.

Rather than treating the postdoctoral period as an isolated stage of a research career, the programme provides a pathway toward broader academic development.

5. Access to NTU AI Platforms and Research Facilities

Fellows will have access to NTU’s AI platforms, research facilities and computing resources.

This is particularly important for researchers whose projects require significant computational capacity, AI infrastructure or access to specialised research facilities.

The availability of institutional infrastructure can enable researchers to test, develop and scale AI-driven approaches to scientific questions.

6. AI Training and Mentorship

Selected fellows will benefit from structured AI training and mentorship involving NTU faculty working across AI and STEM disciplines.

This interdisciplinary approach can be valuable for researchers whose primary expertise lies in a scientific field but who want to strengthen their ability to integrate AI into their research.

7. Teaching and Academic Career Development

The fellowship also includes coaching in university-level teaching.

Teaching development can be particularly useful for researchers preparing for academic careers because successful academics are often expected to demonstrate both research and teaching capabilities.

The teaching component therefore supports the broader transition toward an academic career.

Who Can Apply for the NTU AI-for-X Postdoctoral Fellowship?

The fellowship is aimed at early-career researchers who have recently completed a PhD or equivalent qualification in a STEM field.

Applicants must meet several eligibility requirements, including the following:

PhD Qualification

Applicants must hold a PhD or equivalent qualification in a STEM field.

According to the fellowship information, the PhD must have been conferred in 2023 or later.

This means the opportunity is primarily targeted at researchers who are relatively early in their postdoctoral careers rather than established senior researchers.

STEM Background

The applicant’s doctoral background must be in a STEM field.

The fellowship information specifically frames its research scope broadly across:

• Science
• Technology
• Engineering
• Mathematics
• Medicine

Applicants should therefore consider whether their disciplinary background and proposed research fit within the fellowship’s STEM and AI-for-Science focus.

Strong Academic and Research Record

Candidates are expected to demonstrate a strong academic and research record.

This is a competitive postdoctoral fellowship, so applicants should be prepared to demonstrate evidence of research excellence through their academic achievements, publications and broader research contributions.

AI-Integrated Research Proposal

A central requirement is a compelling research proposal that clearly integrates Artificial Intelligence to solve a scientific problem.

This is one of the most important aspects of the application.

Applicants should not simply propose a conventional scientific research project and mention AI as an additional component. The proposal should clearly explain how AI contributes to addressing the underlying scientific challenge.

A strong proposal should therefore establish a logical connection between:

1. The scientific problem.
2. The limitations of existing approaches.
3. The proposed AI-based approach.
4. The scientific value of applying AI.
5. The expected research outcomes.

NTU Project Mentor

Applicants must identify an NTU faculty member as a Project Mentor.

The mentor will provide disciplinary guidance and support the proposed research within the NTU research environment.

Applicants should therefore carefully consider potential faculty mentors whose expertise aligns with their proposed research.

Mentorship Structure

Each selected fellow will be paired with two important forms of mentorship.

Project Mentor

The Project Mentor will support the fellow in their research field and provide disciplinary guidance related to the proposed scientific project.

AI Mentor

The fellow will also receive an AI Mentor, who will be assigned or selected after the award.

The AI Mentor is intended to support the integration of Artificial Intelligence into the fellow’s scientific research.

This dual-mentor model reflects the central purpose of the fellowship: bringing together domain-specific scientific expertise and AI capabilities.

Application Process for the NTU AI-for-X Postdoctoral Fellowship 2026

Applications must be submitted electronically through the official NTU Online Application Portal.

Applicants should prepare their documents carefully before submitting the application because the fellowship requires several supporting materials.

Required Application Documents

Applicants are required to submit the following:

1. Cover Letter

A cover letter should accompany the application and provide a clear overview of the applicant’s background, research interests and motivation for applying.

It should complement rather than simply repeat information contained in the CV.

2. Comprehensive CV

Applicants must provide a comprehensive CV.

The CV should include the applicant’s Scopus Author ID and a full publication list.

Researchers should ensure that their academic achievements, publications, research experience and other relevant accomplishments are presented clearly.

3. Official PhD Transcript or Degree Certificate

Applicants must provide an official transcript or degree certificate in English for their PhD.

The documentation should demonstrate the required doctoral qualification.

4. Research Proposal

Applicants must submit a research proposal of no more than two pages.

The proposal is particularly important because the fellowship is focused on applying AI to scientific problems.

The proposal should clearly demonstrate:

• The scientific problem being addressed.
• Why the problem is important.
• The proposed research approach.
• How Artificial Intelligence will be integrated.
• The expected scientific contribution.
• Why the proposed research is suitable for the NTU environment.

Applicants should also follow the official proposal template provided by NTU.

5. Contact Information for Two Referees

Applicants must provide contact information for two referees.

One of the referees must be the applicant’s PhD Supervisor.

Applicants should contact their referees before submitting the application and confirm that they are willing to provide recommendation reports.

NTU will contact the referees after the application has been submitted.

6. Top Three Publications

Applicants are required to submit their top three publications in PDF format.

Applicants should therefore carefully select the publications that best demonstrate their research quality, expertise and potential.

The strongest publications will generally be those most closely connected to the applicant’s research trajectory and proposed AI-for-science project.

7. Mentor’s Support Letter

Applicants must also submit a support letter from their NTU mentor.

The mentor’s support letter should be attached to the research proposal and uploaded as one combined file in the research proposal section of the application.

This makes early engagement with a prospective NTU faculty mentor particularly important.

Application Deadline

The application deadline for the NTU AI-for-X Postdoctoral Fellowship 2026 is:

30 October 2026 at 23:59 Singapore Time (UTC/GMT+8).

Applicants should avoid waiting until the final day to submit their applications, particularly because obtaining mentor support, preparing a two-page research proposal and securing referee agreement can require considerable advance preparation.

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Fellowship Commencement Requirement

Successful applicants must be available to commence the fellowship by 31 March 2027.

Applicants should therefore consider their current employment, research commitments, visa arrangements and other obligations when assessing their ability to take up the fellowship within the required timeframe.

Online Briefing Sessions

NTU is offering online briefing sessions for prospective applicants.

The sessions are intended to help researchers understand the fellowship and the application process before submitting their applications.

The briefings cover areas including:

• Fellowship objectives.
• Research opportunities.
• Eligibility requirements.
• Funding and benefits.
• Application procedures.
• Selection timeline.
• Questions from prospective applicants.

Four sessions are scheduled in Singapore Time:

Applicants can register for and attend any one of the available sessions.

Registration is required, and the Microsoft Teams meeting link is provided in the registration confirmation after successful registration.

Because the first two sessions take place in September, prospective applicants who have not yet attended a briefing may wish to consider one of the October sessions.

How to Prepare a Competitive Application

The competitive nature of the AI4X-PDF means applicants should approach the application strategically.

1. Develop a Clearly Defined Scientific Problem

The research proposal should begin with a scientifically meaningful problem.

Applicants should demonstrate that the proposed problem is important and that addressing it could produce meaningful scientific or technological value.

2. Explain Why AI Is Necessary

The application should clearly establish why AI is appropriate for the proposed problem.

Rather than simply stating that AI will be used, applicants should explain what AI enables them to accomplish that conventional approaches may not achieve as effectively.

3. Demonstrate Interdisciplinary Potential

Since the fellowship sits at the intersection of AI and STEM, applicants should demonstrate their ability to connect their disciplinary expertise with AI methodologies.

The strongest applications are likely to show a genuine integration rather than treating AI as an unrelated add-on.

4. Identify an Appropriate NTU Mentor

Finding a suitable NTU faculty Project Mentor is a critical part of the application.

Applicants should research NTU faculty members and identify researchers whose expertise, facilities and research interests align with the proposed project.

A strong mentor-project match can help demonstrate that the proposed research can realistically be implemented within the NTU research environment.

5. Select Publications Strategically

Applicants should use the three-publication requirement to showcase their strongest research.

The selected publications should help establish the applicant’s expertise and demonstrate their potential to conduct high-quality independent research.

6. Make the Two-Page Proposal Focused

Because the proposal is limited to two pages, applicants need to communicate their research vision efficiently.

Every section should contribute to answering the central question: What important scientific problem will be solved, and how will AI enable the research?

7. Engage Referees Early

Since two referees are required and one must be the PhD Supervisor, applicants should approach referees well before the deadline.

Referees should agree to provide reports before the application is submitted.

8. Follow the Document Requirements Carefully

Applicants should check file formats, document completeness and submission requirements before submitting.

Particular attention should be paid to the requirement that the mentor’s support letter be combined with the research proposal and uploaded as a single file in the appropriate application section.

Who Is Eligible by Country, Race and Continent?

The information provided for the NTU AI-for-X Postdoctoral Fellowship does not state a specific nationality, race or country restriction.

Therefore, the published eligibility criteria do not identify the fellowship as being restricted to applicants from a particular African, Asian, European, American or other regional group.

In practical terms, the opportunity is presented as an international research fellowship for eligible early-career researchers, with eligibility primarily determined by academic and research requirements rather than race or geographic origin.

Applicants from Africa, Asia, Europe, North America, South America, Oceania and other regions may therefore consider applying if they satisfy the fellowship’s stated requirements. However, applicants should rely on NTU’s official eligibility rules for the final determination of their individual eligibility.

The key requirements remain the possession of a qualifying STEM PhD conferred in 2023 or later, a strong academic and research record, an AI-integrated scientific research proposal, an NTU faculty Project Mentor and availability to commence by 31 March 2027.

Visit HERE for more information about the NTU AI-for-X Postdoctoral Fellowship 2026.

Category of People Who Qualify

The opportunity is primarily suitable for:

• Early-career researchers.
• Recent PhD graduates.
• Researchers with a PhD or equivalent in a STEM field.
• Researchers whose doctoral qualification was conferred in 2023 or later.
• Scientists interested in applying AI to scientific discovery.
• Technology and engineering researchers working on AI-enabled scientific problems.
• Mathematics researchers developing AI-related scientific applications.
• Medical researchers with suitable AI-for-science research proposals.
• Researchers with a strong academic and research record.
• Applicants capable of developing a compelling AI-integrated research proposal.
• Researchers able to identify an NTU faculty member willing to serve as Project Mentor.
• Researchers intending to pursue an academic or research leadership career.

Conclusion

The NTU AI-for-X Postdoctoral Fellowship 2026 represents a major opportunity for early-career STEM researchers who want to build research careers at the intersection of Artificial Intelligence and scientific discovery.

With up to four years of funding, a SGD 250,000 research grant, competitive remuneration, access to AI platforms and research facilities, structured AI training, interdisciplinary mentorship and teaching-development support, the fellowship provides researchers with resources to develop ambitious research programmes and strengthen their academic trajectories.

Its emphasis on using AI to solve scientific problems makes it particularly relevant to researchers who can demonstrate a clear connection between their disciplinary expertise and emerging AI methodologies. The requirement for an NTU Project Mentor also means that applicants should begin identifying suitable faculty collaborators well before submitting their applications.

Eligible researchers should pay particular attention to the PhD completion requirement of 2023 or later, the need for a strong academic and research record, the two-page AI-integrated research proposal, the three selected publications, referee requirements and mentor support letter.

The application deadline is 30 October 2026 at 23:59 Singapore Time (UTC/GMT+8), while successful fellows must be able to commence the fellowship by 31 March 2027.

For researchers seeking to contribute to the rapidly developing field of AI-for-Science while building an internationally competitive academic research career, the NTU AI-for-X Postdoctoral Fellowship offers an opportunity to combine scientific expertise, Artificial Intelligence, interdisciplinary collaboration and substantial research support within Singapore’s research ecosystem.

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