Position Purpose:

The Energy and Power Systems research group at the Electrical Engineering Department, LUMS is seeking highly motivated individuals to fill the position(s) of Research Assistant(s) to carry out research in the field of real-time distribution grid control for enhancing renewable energy integration. The successful candidate(s) will be involved in the research project that focuses on deep reinforcement learning-based operation of smart distribution grids.

Main Responsibilities

• To create and further develop artificial intelligence-based models for operational planning of distribution grids taking into account the high shares of renewable energy sources.
• To apply this knowledge in artificial intelligence modules (e.g., PyTorch) and a more high-level simulator (e.g., OpenDSS) with the aim of benchmarking the performance of the various techniques based on techno-economic and environmental criteria.
• To contribute to project reporting, research proposals, and project management.
• Any other duty assigned by the supervisors and/or EE department. 

Knowledge & Skills:

• Experience in applying artificial intelligence techniques in Python including PyTorch.
• Hands-on skills in power system simulations using OpenDSS or DigSILENT PowerFactory.
• Documented (publications) experience in the application of artificial intelligence in power systems.
• Experience in mathematical or metaheuristic optimization will be a plus.
• Great command of written and verbal communication skills.
• Excellent analytical, coding, and problem-solving skills.