Sort by
Refine Your Search
-
algorithms in the simulation environment with grid use-case scenarios Integrate and validate solutions in the virtual grid environment. RT2: AI-driven state estimation and prediction This research aims
-
investigate optimal control algorithms to control VFRMs using a VFRM and its driver prototypes. In addition to the experimental studies, a complete simulation framework will be developed, including both
-
Validation of the developed algorithms in the simulation environment with grid use-case scenarios Integrate and validate solutions in the virtual grid environment. See for the other 3 reseach tracks below
-
-supervise bachelor and master students Conditions of employment A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a
-
and simulated on real distribution and transmission networks. Finally a system architecture will be developed that can be implemented in the control centers of the participating network operators and
-
into requirements for designing and implementing the photonic integrated WSS and transmission systems. Design, simulate, and fabricate the photonic integrated MB-WSS and transmission systems based on the system
-
of simulation-based solutions in the virtual grid environment See for the other 3 reseach tracks below: PhD1 / RT1: Synthetical data generation using multivariate models . PhD2 / RT2: AI-driven state estimation
-
are advantages. Excellent modeling skills in simulation tools such as PowerFactory or other equivalent open-source power system packages. Having experience in connecting such simulation tools with the programming
-
integrated WSS and transmission systems. Design, simulate, and fabricate the photonic integrated MB-WSS and transmission systems based on the system specifications and network architecture. Packaging and
-
.) Conditions of employment A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking