Research directions and qualifications
Most of our research projects seek to understand materials synthesis and design in areas such as energy and sustainability. To do so, we often use a combination of theory, simulations, and machine learning (learn more about some of our research directions). Our work requires strong background in programming and familiarity with data analysis, materials physics, and related areas. Our main programming language is Python, though we also work extensively with other programming languages as needed. Experience with atomistic simulations, Linux, HPC, or machine learning/deep learning is a plus. In addition to research, our group strives to provide an inclusive and respectful environment for all.
Apply
Postdoc candidates: We currently do not have funded positions available. However, if you are applying to your own funding/fellowships, send Daniel an e-mail with your CV and a brief statement of research interests.
Current/admitted graduate students at UCLA: If you have been admitted to the UCLA graduate program and would like to learn more about our group, send Daniel an e-mail with your CV and transcript to chat about opportunities of working with us.
Undergraduate students: If you are an undergraduate student interested in working with us, please send Daniel an e-mail with your CV and transcript to discuss research opportunities. You can also find information on multiple scholarships and programs for undergraduate research offered by UCLA at the Undergraduate Research Portal and the UCLA Samueli Undergraduate Research Program.
Prospective students: Applications to the UCLA MSE graduate program starting in the Fall 2026 will open around September 2025, and often close in December. All applications are reviewed by a committee (check the instructions carefully), and decisions for the Fall 2026 admission cycle are made by the Spring of 2026. You do not have to send Daniel an e-mail - due to the large volume of e-mails, Daniel is unable to reply to individual inquiries about applications.
