Multiple Ph.D. Positions : Dr. Sijia Geng’s group at Johns Hopkins University, Power & Energy Network System Analysis (PENSA) Laboratory, is offering multiple fully funded Ph.D. positions starting in Fall 2025. These positions include tuition, stipend, and medical insurance. Successful candidates will work on cutting-edge research in dynamics, control, and stability of large-scale inverter-based power systems, utilizing data-driven and geometric methods, and applications of AI in energy and electrified transportation systems.
| Category | Details |
|---|---|
| Designation | Ph.D. Positions |
| Research Area | Power & Energy Network System Analysis, Dynamics, Control, Stability of Power Systems, AI in Energy Systems |
| Location | Johns Hopkins University, USA |
| Eligibility/Qualification | Self-motivated candidates with strong mathematical skills. Preferred background in control theory, dynamical systems, mathematical analysis, optimization, machine learning, power systems, or power electronics. A master’s degree is preferred but not required. |
| Job Description | Selected candidates will work with Dr. Sijia Geng on research topics including: * Dynamics, control, and stability of large-scale inverter-based power systems * Analysis and control of nonlinear and hybrid dynamical systems using data-driven and geometric methods * Applications of AI in networked energy and electrified transportation systems |
| How to Apply | Interested applicants should apply to the Department of Electrical and Computer Engineering at JHU, indicating their interest in the Faculty of Interest and Statement of Purpose. After submission, applicants should contact Dr. Geng at sgeng@jhu.edu with the subject line “Prospective PhD Student – [Your Name]” and include their CV, transcript (with GPA), and a brief paragraph describing their research experience and interests. |
| Last Date to Apply | Fall 2025 Admissions (Check JHU ECE Department Website for Deadlines) |
About Dr. Sijia Geng: Dr. Sijia Geng is an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University. She is a Core Faculty member at the Ralph O’Connor Sustainable Energy Institute and an affiliate with the Department of Applied Mathematics & Statistics and the Department of Computer Science. Previously, she was a Postdoctoral Associate at MIT. Dr. Geng earned her Ph.D. in Electrical and Computer Engineering (ECE) from the University of Michigan-Ann Arbor, along with two M.S. degrees in Mathematics and ECE. Her research focuses on developing rigorous theory and computational tools for sustainable, autonomous, and resilient energy systems. She has received several prestigious accolades, including the Barbour Scholarship, the Rising Stars in EECS recognition at MIT (2021), and a Best Paper Award at the 2022 MIT/Harvard Applied Energy Symposium.
