Nanyang Technological University
1 week ago
PhD Positions in AI, Deep Learning, Urban Microclimate, and Building Performance Simulation at Nanyang Technological University Nanyang Technological University in Singapore
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 31, 2026
Country
Singapore
University
Nanyang Technological University

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About this position
PhD positions are available at Nanyang Technological University (NTU), Singapore, in the College of Computing and Data Science.
The research focus is on AI, deep learning, urban microclimate, and building performance simulation. The post highlights projects for students 2 and 3, with an emphasis on independent and collaborative research toward a PhD degree.
Ideal background: a Master’s degree in Computer Science, Electronic Engineering, Physics, or Mathematics; strong academic performance (second upper honours); solid knowledge of deep learning, transformers, graph models, optimization, supervised and unsupervised learning; proficiency in Python and deep learning toolboxes; and excellent coding skills. Prior research experience and publications in top AI venues such as ICML, NeurIPS, ICLR, and AAAI are preferred. Knowledge of numerical methods and physics-based simulation is a plus.
Funding: monthly stipend as per NTU norms, tuition fee waiver if applicable, conference support, and research funding for travel and publications. Advanced research facilities are also available.
How to apply: email your CV, 1–2 page statement of purpose, transcripts, certificates, and 2–3 referees to the contacts listed in the post. The deadline is 31 August 2026.
Contact: Prof Adams Wai Kin Kong.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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