Job Description

We are looking for a Research Engineer to work on energy efficiency optimization for multiple networked microgrids. 

The job mainly covers the following tasks.

• Take responsibility for the concept, design, analysis, modeling, and simulation of the distributed large-scale power grid system.
• Be involved in the algorithm development to improve the performance of the distributed large-scale power grid system, especially with the distributed optimization algorithms and reinforcement learning architecture.
• Collaborate closely with a microgrid simulation team to verify the proposed algorithm and assist with testing the simulation software when applicable.
• Develop the UI interface of the optimization software to better demonstrate its function toward the industry.
• Ensure system design complies with existing standards for certification.
• Provide support to a team of engineers in solving multi-disciplinary problems, including preparing documentation and presenting results of analyses/testing to peers and customers.
• Conduct high-quality research, propose his/her research ideas, and be an active member of the department.

Qualifications

The candidate is expected to have interdisciplinary experience in related fields such as distributed optimization, control theory, AI-based data-driven optimization like reinforcement learning, and fundamental knowledge in power systems.

• Possess a Bachelor Degree in Engineering and/or related discipline
• Evidence of published research with a strong publication record in high quality journals.
• Proven experience with technical programming languages like MATLAB, Python, or Julia.
• Profound knowledge and hands-on programming experience with deep learning frameworks and packages, e.g., PyTorch, TensorFlow, or Flux.
• Profound knowledge in distributed optimization architectures such as ADMM and profound knowledge in evolutionary optimization algorithms such as genetic algorithm.
• Knowledge in distributed reinforcement learning algorithms such as MADDPG is highly preferred.
• Basic knowledge in control theory and power systems.
• Has technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to deadlines.
• Able to do research in a multi-disciplinary team.
• Open to fixed term contract

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 10793