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

PhD opportunity at Nanyang Technological University (Singapore) in AI-enabled atomistic modelling of dynamic interfaces in alcohol electro-oxidation . This funded PhD project, supervised by Prof Zhichuan Jason Xu in the School of Materials Science and Engineering , focuses on understanding how catalyst reconstruction and interfacial proton transfer control alcohol electro-oxidation. The research is centered on nickel-based (oxy)hydroxides and aims to reveal how evolving catalyst structures influ...

Postdoctoral Fellowship Opportunity at Nanyang Technological University in Singapore for AI-related research. The post highlights the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship , an international initiative designed to accelerate the use of AI techniques in STEM research. The fellowship supports outstanding early-career researchers with access to AI tools, training, and mentorship for up to two years. The faculty mentor mentioned in the post is Kensaku Matsunami , Assistant Pro...

Postdoctoral Fellow opportunity at Nanyang Technological University (NTU), Singapore. The School of Materials Science and Engineering is recruiting for a postdoctoral researcher to join the collaborative AxCIS Lab – AI xploration of Catalysis with Inorganics and Surfaces programme involving NTU, the National University of Singapore (NUS), and BEARS. This position focuses on AI/ML-driven high-throughput, closed-loop experimentation for the discovery and optimization of electrocatalytic materials ...

NTU College of Engineering in Singapore is promoting fully funded PhD opportunities for research careers in high-impact areas including AI, sustainability, robotics, biomedical engineering, and renewable energy. The post highlights competitive funding options such as the Nanyang President’s Graduate Scholarship, NTU Research Scholarship, and industry-partnered fellowships. It also notes flexible entry conditions: GRE is not required, English tests can be replaced by an interview, and outstanding...

This post is not an application call, but it highlights a growing research direction: AI-driven materials science and AI-materials modelling at institutions such as ETH Zurich. The discussion centers on how top universities are building dedicated teams that combine artificial intelligence with materials research, moving beyond traditional materials roles into deeply integrated computational and data-driven work. It also references semiconductor materials bottlenecks and the use of computational ...