Fully Funded PhD Position in Battery Materials and Machine Learning at Syracuse University Syracuse University in United States

A fully funded PhD position is available in the group of Assistant Professor Changmin S. at Syracuse University, United States, with enrollment preferred for Fall 2026 or Spring 2027. The research focuses on battery materials, energy storage, and the application of machine learning and artificial intelligence in materials science and energy systems. The group is particularly interested in candidates with backgrounds in materials science, mechanical engineering, chemical engineering, or related fields. Preferred applicants will have research experience in energy storage or battery research, machine learning, and applied AI, and ideally hold a Master of Science (M.S.) degree. Preference is given to students currently physically located in the United States.

The position is fully funded, covering tuition and providing a stipend. Interested candidates should prepare a CV (including GPA), undergraduate and graduate transcripts, and a brief statement of research interests. Applications should be sent via email to [email protected], using the subject line format: “Ph.D. Application, Current Affiliation, Current/Pursued Degree, Enrollment Semester.”

This opportunity is ideal for students passionate about advancing battery materials and leveraging AI for scientific discovery. The application window is open for Fall 2026 (preferred) or Spring 2027 enrollment. For more information, refer to the supervisor’s LinkedIn profile or contact directly via email.