Duy Le

The University of Central Florida is seeking a highly motivated postdoctoral researcher to join the group of Assistant Professor Duy Le in Spring or Fall 2026. The successful candidate will focus on developing advanced atomistic modeling methods and performing simulations of materials for applications in thermal- and electro-catalysis. This position is ideal for candidates with a strong background in computational materials science, atomistic modeling, and scientific programming. Key research areas include first-principles calculations, molecular dynamics simulations, and the application of machine learning techniques to materials science problems. Applicants should demonstrate proficiency in the listed focus areas and have experience in computational modeling. The research will contribute to the advancement of materials for catalysis, with potential applications in energy and chemical industries. The University of Central Florida provides a collaborative research environment and access to state-of-the-art computational resources. To apply, candidates must email a CV and a brief statement of research interests (no longer than one single-spaced page) to Assistant Professor Duy Le at [email protected] by January 24, 2026. Please include 'PDR-46K4E' in the subject line for proper routing. This opportunity is suitable for candidates interested in computational materials science, catalysis, and interdisciplinary research involving physics, chemistry, and machine learning. For more information, candidates may refer to the supervisor's LinkedIn profile or contact directly via email. Please share this announcement with your network if you know someone who may be interested.

University of Central Florida Assistant Professor Duy Le is hiring a postdoctoral researcher in computational materials science with a focus on heterogeneous catalysis , electrocatalysis , and/or battery technologies . The position is especially suited to candidates with experience in molecular dynamics simulations , including ab initio molecular dynamics (AIMD) , and in developing or using machine-learning interatomic potentials . Strong PyTorch programming skills are also requested. This is a research-oriented postdoctoral opening at the University of Central Florida in the United States. The post does not mention funding details, deadline, or a formal application portal, so interested candidates should use the LinkedIn contact/post link and follow up directly with the announcer. Research keywords: computational materials science, catalysis, electrocatalysis, batteries, molecular dynamics, AIMD, machine learning, interatomic potentials, PyTorch.