Research Engineer & Smart Microgrid Systems Engineer

Description:

We are looking for a PhD Researcher & Smart Microgrid Systems Engineer with 2-5 years of experience in AI-driven control systems, machine learning, and smart grid technologies. This role is perfect for an experienced engineer with a strong background in designing and optimizing smart microgrids, combining machine learning with energy systems, and working with tools like MATLAB and Simulink. You will play a key role in developing intelligent solutions that enhance energy optimization, reliability, and real-time decision-making for microgrid systems.

Project Description:

- First Step: Design and develop a MATLAB model for a smart microgrid integrated with AI, incorporating machine learning algorithms to ensure optimal energy distribution and system reliability.

- Next Steps: Apply AI techniques to manage dynamic power loads, ensuring that the microgrid responds efficiently to fluctuations in demand. Simulations using MATLAB and Simulink will refine performance.

- Further Progress: Implement machine learning methods to enhance predictive maintenance and integrate renewable energy sources, creating AI-based decision frameworks for real-time grid adjustments.

Required Experience:

- Experience: 2-5 years of experience in smart grid systems, AI modeling, machine learning, and MATLAB-based simulation projects.

- Major: PhD candidate or graduate in Electrical Engineering, Control Systems, AI, or related fields.

- Projects: Demonstrated expertise in AI integration with smart grid technologies, particularly in machine learning and control systems using MATLAB for large-scale simulations.