Facilities Management jobs in Singapore

Organisation/Company Nanyang Technological University Department Fellowships & Awards Research Field Engineering Medical sciences Physics Mathematics Computer science Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country Singapore Application Deadline 31 Oct 2025 - 23:59 (Asia/Singapore) Type of Contract Other Type of Contract Extra Information 4 Years Contract Job Status Full-time Hours Per Week 42 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

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 designedto attract and empower the world’s brightest early-career researchers.

This fellowshipsupports 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 funding
• Competitive remuneration and benefits
• 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

Applicants are required to submit the following:

• Comprehensive CV (including Scopus Author IDand full publication list)
• Official PhD transcript or certificate (in English)
• 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)

For enquiries, please contact Fellowships & Awards (Research Support Office) atNTU:
FA-RSO@ntu.edu.sg

• 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