Research Fellow (Control Systems, System Identification, and Power Systems Applications)
We are seeking a dynamic and motivated Research Fellow to join our team, focusing on control theory, system identification, and their applications in modern power systems. This project aims to develop advanced techniques for optimizing and stabilizing power grids, with a focus on renewable integration, demand response, and energy management.
Key Responsibilities:
- Conduct high-impact research on control strategies and system identification for power systems;
- Develop and implement algorithms for the dynamic control of power grids and distributed energy resources;
- Collaborate with a multidisciplinary team working on energy systems, control theory, and optimization; and
- Contribute to the development of real-world applications in smart grid technologies, renewable energy integration, and grid stability.
Requirements:
- PhD in Electrical Engineering, Control Systems, Applied Mathematics, or related fields;
- Strong expertise in control theory and system identification, demonstrated through publications and research projects;
- Proven ability to solve complex problems in power systems control and optimization;
- Prior experience in power systems, including smart grids, renewable energy integration, or demand-side management;
- Expertise in optimization methods, energy management systems, or distributed control is highly desirable; and
- Familiarity with grid simulation tools and software, such as MATLAB/Simulink, PSSE, or similar, would be advantageous.