Publisher
source

Nanyang Technological University

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 available

Deadline

Aug 31, 2026

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Country

Singapore

University

Nanyang Technological University

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Deep Learning
Mathematics
Artificial Intelligence
Python Programming
Optimisation
Graphical Models
Urban Climate
Physics

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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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