Fully Funded PhD in Power Systems and AI: There are fully funded PhD positions in power and energy systems and AI at the University of Johns Hopkins, USA. This project is expected to start in Fall 2026.
This opportunity is hosted at the PENSA Laboratory and is under the supervision of Dr. Sijia Geng, an Assistant Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University.
The selected PhD students will be provided with sufficient financial coverage, which will cover tuition, a competitive stipend, and medical insurance. This is to ensure that the student is fully devoted to their research work without experiencing any financial challenges.
Why Pursue a PhD at Johns Hopkins University?
Prominent Institution and Environment: Johns Hopkins University (JHU) has always been rated as one of the best research organizations in the world.
Full Financial Support: The roles are fully subsidized, paying out all of the significant costs (tuition, stipend, and insurance).
Mentorship and Collaboration: This offers the students special mentorship, teamwork, as well as expansion of their technical competencies.
Global Impact: The graduates will be involved in the creation of sustainable, independent, and resilient energy systems.
Position Description – Fully Funded PhD in Power Systems and AI
The PhD students will be incorporated into the research team in the PENSA Laboratory. They will directly collaborate with Dr Sijia Geng on state-of-the-art research issues that are crucial to the future of energy. The fundamental points of concentration involve:
- Dynamics, control, and stability of large-scale inverter-based power systems.
- Decentralized control and stability of networked dynamical systems.
- Data-driven analysis and control of nonlinear and hybrid dynamical systems.
- Machine learning and reinforcement learning for energy systems.
- Differential geometric methods with application to power systems.
Qualifications – Fully Funded PhD in Power Systems and AI
The applicants must be self-motivated, have a high level of mathematical and analytical skills, and show an interest in the research of energy systems.
Also, the candidate is expected to have a degree in Electrical Engineering, Computer Engineering, Applied Mathematics, statistics, or a related degree (BS degree or MS degree).
Moreover, the candidates will need a good background and interest in one or more of the following key areas:
- Control Theory and Dynamical Systems.
- Optimization techniques
- Machine Learning (ML) or Reinforcement Learning (RL).
- Differential Geometry (and power systems application)
- Power Systems/Power Electronics.
How To Apply For This PhD in Power Systems and AI
Interested applicants for a PhD at Johns Hopkins University, with Dr. Geng as the advisor, should draft and send their application to the Department of Electrical and Computer Engineering or the Department of Applied Mathematics and Statistics.
Then, email Dr. Sijia Geng directly, with the subject title “Prospective PhD Student – Your Name.” Attach your Curriculum Vitae (CV) and make sure that your GPA is displayed, and include a short paragraph that provides a summary of your research experience and interests.
About Dr. Sijia Geng
Dr Sijia Gengis an Assistant Professor in the Electrical and Computer Engineering Department, Johns Hopkins University. She is a Core Faculty member in the Ralph O’Connor Sustainable Energy Institute, and she is affiliated with the Applied Mathematics and Statistics Departments as well as the Computer Science Departments.
Deadline and Contact Information
Application Deadline: The application is on a rolling basis. This way, it is advisable to apply early.