Vacancies
Academic Researcher (f/m/d)
in Electrical Engineering, Electrical and Information Technology, Electrical Power Engineering, Mechanical Engineering or Computer Science
Category
Job description
Grid-forming hybrid power plants are thought to be an essential building block of the energy transition, since they could be a full-fledged replacement for conventional power plants. This is achieved through the intelligent combination of various renewable generation technologies with storage systems to balance out weather-related fluctuations, provide essential system services, and thus actively contribute to the stability of future power grids. As part of the CHIMERA project, the goal is to investigate such concepts for grid-forming hybrid power plants and evaluate them in terms of their technical, economic, and regulatory feasibility. Specifically, your responsibilities will include:
- Development and testing of methods for reducing EMT simulation models of the power grid and their transfer to RTDS real-time simulation, as well as the creation of transmission grid models in PowerFactory and RTDS/RsCAD
- Investigation of system-wide interactions between hybrid power plants and active grid assets
- Scientific and administrative coordination of the work in the CHIMERA work package “Integration of HiL Test Environments into the Co-Simulation Platform”
- Preparation of project reports
- Publication of results in peer-reviewed journals and at conferences
- Supervision of student theses
In addition to research activities, there is the opportunity to pursue a Ph.D.
Personal qualification
- Above-average Master’s degree in electrical engineering, electrical and information technology, electrical power engineering, renewable energy, mechanical engineering, computer science, or a comparable field of study
- Strong analytical thinking skills
- Very good ability to organize one’s own work
- Very good written and spoken German and English skills
- Teamwork and communication skills, determination, and a strong willingness to learn
- Basic programming skills (MATLAB or Python)
- Preferably experience with power grid simulation—RsCAD, DIgSILENT PowerFactory, MatDyn, PSCAD, EMTP, etc.
More details Apply
Academic Researcher (f/m/d)
in Computer Science, Mechanical Engineering, or Mathematics
Category
Job description
A major challenge of the energy transition is managing variable electricity generation from renewable energy sources and coordinating it with storage systems and flexible consumers. The bundling of flexible or controllable facilities within virtual power plants, intelligent districts, or as intelligent areas is a central approach to reducing system complexity. The goal of this position is the conception, implementation, evaluation, and testing of new solutions for coordinating flexible facilities. The focus lies on the application of reinforcement learning and the consideration of stochastic influences Specifically, you will have the following responsibilities:
- Researching and familiarizing yourself with the topics of smart grids and virtual power plants, as well as the current state of the art, and identifying research gaps
- Designing models and algorithms, as well as programming
- Implementing the solutions in computer simulations and subsequently using the Energy Lab’s actual hardware and the Campus North grid
- Conducting experiments, analyzing the results, and deriving new insights
- Publishing the results in academic journals and at conferences
- Assistance with teaching
In addition to research activities, there is the opportunity to pursue a Ph.D.
Personal qualification
- A completed master’s degree in computer science, mechanical engineering, mathematics, Industrial Engineering and Management or a comparable field of study
- Excellent knowledge in the fields of Machine Learning and statistics
- Solid expertise in the areas of energy informatics and electrical engineering
- Strong understanding of stochastic processes/probability theory
- Programming experience
- Excellent written and spoken English skills
- Strong teamwork and communication skills, a strong willingness to learn, and a solution-oriented approach to work
More details Apply