Publisher
source

Texas State University

Just Landed

PhD Student Opportunity in Power & Energy Systems (Spring 2027) Texas State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Funding opportunities may be available through research assistantships.

Country flag

Country

United States

University

Texas State University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Electrical Engineering
Smart Grid Technology
Mathematics
Energy Engineering
Forecasting
Microgrid Technology
Optimisation
Power System
ML

Suggested positions

About this position

PhD opportunity in Power & Energy Systems at Texas State University starting Spring 2027. The research group is focused on intelligent, resilient, and data-driven solutions for modern power and energy systems, with interests spanning microgrid energy management, optimization, AI and machine learning in power systems, renewable energy integration and forecasting, cyber-physical power systems, power system reliability and resilience, and smart grids.

Ideal applicants should have a background in Electrical Engineering, preferably with training in Power Systems or Power & Energy. Experience or interest in optimization and machine learning is preferred, along with programming and simulation skills in Python and MATLAB. Experience with DIgSILENT PowerFactory and PSCAD is highly desirable.

The post indicates that 1 PhD student is initially being recruited, with plans to expand the group further. Funding opportunities may be available through research assistantships, but the post does not state a guaranteed fully funded package.

To apply, email the supervisor with a CV and a brief research statement describing your research interests, previous experience, and fit with the group. Use the subject line “PhD Application – Spring 2027”.

Funding details

Funding opportunities may be available through research assistantships.

What's required

Applicants should have a background in Electrical Engineering, preferably in Power Systems or Power & Energy. Interest or experience in optimization and machine learning is preferred. Programming and simulation experience with Python and MATLAB is expected, and experience with DIgSILENT PowerFactory and PSCAD is highly desirable.

How to apply

Email the supervisor with your CV and a brief research statement describing your interests, previous experience, and fit with the group. Use the subject line “PhD Application – Spring 2027”.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?