Peichen Zhong

The Applied Machine Learning and Materials Modeling (AM3) Group at the National University of Singapore (NUS) is recruiting PhD students for the 2026 Fall intake. Led by Assistant Professor Peichen Zhong, the group focuses on leveraging computational and AI techniques to address challenges in energy and materials science. Research interests include computational modeling of complex materials for renewable energy applications (such as Li/Na-ion battery cathodes, electrolytes, and interfaces), atomistic simulations with statistical mechanics and first-principles calculations in disordered and amorphous systems, and the development of AI for Science, including machine learning interatomic potentials and generative models for scientific applications. The group is particularly interested in applicants with backgrounds in geometric deep learning, generative models, agentic AI for science, computational chemistry, and materials science. The AM3 group offers a collaborative, hands-on research environment with opportunities for interdisciplinary work and close collaborations with experimental researchers. Students are encouraged to develop their interests and thrive in a tech-team style group culture. Applicants should hold a B.S. or M.S. in physics, chemistry, computer science, materials science, or related fields, with a minimum TOEFL score of 90 or IELTS 6.5, and a GPA of at least 80%. GRE is optional but preferred. The position is fully funded for 4 years through the NUS Research Scholarship, which covers tuition fees and provides a monthly stipend of S$3000 (increasing to S$3500 after the qualifying exam). To apply, send your CV and a short description of your research interests to [email protected]. For more information, visit the group’s academic page at https://zhongpc.github.io/ . The application deadline is December 28, 2025, for the 2026 Fall intake.

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.

The AM3 Group at the National University of Singapore is recruiting for research openings in AI/ML for materials , with a strong emphasis on materials science , atomistic simulations , generative modeling , and dynamics . The post is especially relevant for candidates interested in developing machine learning methods for large and open systems and in aligning computational models with experimental data. Postdoctoral positions are currently being sought. The group notes that applicants with a background in applied mathematics are particularly welcome, suggesting a strong fit for candidates with quantitative modeling, numerical methods, or theoretical ML expertise. The announcement does not specify salary, stipend, or funding package details. The post also mentions that PhD positions for the Spring 2027 intake are potentially available. Interested applicants should review the linked opening page for updates and application guidance. No masters opening is mentioned. How to apply: send a CV and a very brief statement of research interests to the provided email address. For the PhD opportunity, follow the instructions on the linked opening page. No deadline is stated in the post. Institution: National University of Singapore