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Publisher
source

National University of Singapore (NUS)

Top university

Computational and AI techniques for energy and materials science National University of Singapore (NUS) in Singapore

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Dec 28, 2026

Country flag

Country

Singapore

University

National University of Singapore (NUS)

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Keywords

Computer Science
Chemistry
Materials Science
Artificial Intelligence
Computational Chemistry
Energy Engineering
Generative Modeling
Computational Materials

About this position

The AM3 Group at the National University of Singapore is seeking PhD students for Fall 2026. The group focuses on materials modeling and the application of artificial intelligence to scientific challenges, particularly in energy and materials science. The research interests include geometric deep learning, generative models, agentic AI for science, and computational chemistry and materials science.

The group offers a dynamic and innovative research environment in Singapore, a global hub for science and innovation. Fully funded scholarships are available for four years for international students, providing stable financial support. Applicants should have a strong background in relevant computational and AI techniques and a passion for advancing science through these methods.

The application process is open, and interested candidates are encouraged to contact the group via email and review the provided link for more details.

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.

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