Multiple Fully Funded PhD: Dr Sijia Geng’s Power and Energy Network System Analysis (PENSA) Lab at Johns Hopkins University is inviting applications for multiple fully funded PhD positions beginning Fall 2026. The positions cover full tuition, stipend, and medical insurance. The work centers on advanced methods in power systems, control theory, and data-driven energy research.
Summary Table
| Field | Details |
|---|---|
| Designation | PhD Position (Fully Funded) |
| Research Group | Power & Energy Network System Analysis (PENSA) Lab |
| Research Areas | Power systems, inverter-based systems, decentralized control, nonlinear dynamics, ML/RL for energy, differential geometry methods |
| Location | Johns Hopkins University, Whiting School of Engineering |
| Start Term | Fall 2026 |
| Funding | Tuition + stipend + medical insurance |
| Preferred Background | Control theory, dynamical systems, optimization, ML/RL, differential geometry, power systems, power electronics |
Designation
Fully Funded PhD Positions in the PENSA Laboratory.
Research Area
The selected candidates will work on problems involving:
- Dynamics, control, and stability of large-scale inverter-dominated power systems
- Decentralized control of networked dynamical systems
- Data-driven analysis and control of nonlinear and hybrid systems
- Machine learning and reinforcement learning for energy systems
- Differential geometric methods applied to power and energy networks
Location
Whiting School of Engineering
Johns Hopkins University
United States
Eligibility / Qualifications
Required
- Strong mathematical background
- Self-motivated with interest in power and energy systems
Preferred
- Coursework or experience in control theory, dynamical systems, optimization, ML/RL, differential geometry, power systems, or power electronics
- Master’s degree is preferred but not mandatory
Job Description
PhD students will join Dr Sijia Geng’s research group and contribute to theoretical and computational research aimed at building sustainable and resilient energy systems. Work includes developing new control frameworks, analyzing large-scale dynamical systems, and applying modern machine learning tools to energy networks. Students will have opportunities to publish, collaborate across departments, and work within the Ralph O’Connor Sustainable Energy Institute.
How to Apply
- Apply to either:
- Department of Electrical and Computer Engineering, or
- Department of Applied Mathematics & Statistics at Johns Hopkins University.
- Indicate your interest in working with Dr Sijia Geng in both the Faculty of Interest section and your Statement of Purpose.
- After submitting your application, email Dr Geng at sgeng@jhu.edu with:
- Subject line: Prospective PhD Student – Your Name
- Your CV
- Transcript with GPA
- A short description of your research experience and interests
Last Date to Apply
Open now
The university’s PhD application deadline for Fall 2026 will apply. (Candidates should refer to the ECE or AMS department website for exact dates, typically December.)
