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

Fully and stably funded scholarships are provided for 4 years for international talents. The funding covers tuition and stipend, but specific amounts are not mentioned.

Deadline

Dec 28, 2026

Country flag

Country

Singapore

University

National University of Singapore (NUS)

Social connections

How do Bangladeshi students apply for this?

Sign in for free to reveal details, requirements, and source links.

Where to contact

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

Fully and stably funded scholarships are provided for 4 years for international talents. The funding covers tuition and stipend, but specific amounts are not mentioned.

What's required

Applicants should have a background in geometric deep learning, generative models, agentic AI for science, computational chemistry, or materials science. Passion for using computational and AI techniques to solve challenges in energy and materials science is required. No specific degree, GPA, or language requirements are mentioned.

How to apply

Interested applicants should email [email protected] and review the opening at https://lnkd.in/g_Za79gJ. Prepare your application materials and reach out for further instructions.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?