PhD Po­si­ti­on - Sto­cha­stic Pre­dic­ti­ve Op­ti­mi­za­ti­on for the Elec­tri­cal Grid

Location

Jülich | Germany

Job description

Tätigkeitsprofil:

• Development of stochastic optimization methods for the control of distributed resources in the electrical grid
• Accurate modeling of the different source of uncertainties
• Integration of the developed control algorithms in the digital platform
• Real-time implementation and hardware-in-the-loop validation of the methods and tools
• Development of the interfaces with measurement devices and additional software tools

Anforderungsprofil:

• Excellent university degree (master) in electrical engineering, electronic engineering, mechanical engineering, physics, or a comparable field
• Strong mathematical background
• Excellent knowledge and experience in programming (e.g. Python, MATLAB, C, C++)
• Knowledge of optimization theory
• Knowledge of control of energy systems
• Knowledge of modeling, preferably of energy systems
• Interest in energy systems and energy infrastructures, especially regarding power and gas grids
• Experience with real-time simulations are welcome
• Excellent ability for cooperative collaboration
• Very good communication skills in English

Job tags

Salary