Skills: Performance control and optimization for decarbonizing urban operation (nonlinear) systems
Qualifications:
- PhD degree in control science and engineering, computer science, electrical engineering, or applied mathematics.
- Have multiple publications in top conferences/journals in system control, computer science, electrical engineering, networking, experiments, and system optimization.
- Fluent in oral and written English.
Experience:
- Expertise in research in control algorithm design and system optimization using performance control, machine learning, stochastic modelling, optimization, or game theory.
- Good at applying mathematical modelling and control algorithms to large-scale networks.
