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Peichen Zhong

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Postdoc and Spring 2027 PhD Openings in AI/ML for Materials Modeling National University of Singapore in Singapore

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Singapore

University

National University of Singapore

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Keywords

Computer Science
Materials Science
Mathematics
Artificial Intelligence
Atomistic Simulation
Physics
Applied Mathematic
Machine learning

About this position

The AM3 Group at the National University of Singapore is recruiting for research openings in AI/ML for materials. The post announces postdoctoral positions focused on developing machine learning methods for materials science, with emphasis on atomistic simulations in large and open systems, generative modeling, dynamics, and experimental alignment.

Applicants with a background in applied mathematics are especially encouraged to apply. The group is led by Peichen Zhong, an Assistant Professor at NUS, and the opening is framed around the AM3 Group’s research in materials modeling and AI for science.

The post also notes that PhD positions for the Spring 2027 intake are potentially available. No detailed funding package, stipend amount, or tuition coverage is specified in the post, so applicants should review the linked opening page for any additional information.

To apply for the postdoc role, candidates should email their CV and a very brief statement of research interests to [email protected]. For the PhD opportunity, interested applicants should follow the linked opening page and any instructions provided there.

Relevant study areas include materials science, computer science, mathematics, and physics, especially for candidates working at the interface of AI/ML and atomistic or computational materials research.

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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