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2 research assistants (EG 13 TV-H) - in the field of energy management and operation of electrical networks
Application deadline: | 04.11.2018 |
Hiring start date: | 01.12.2018/01.01.2019 |
Reader Service Code: | 31789 |
Applications to: |
The positions - subject to the approval of the third-party funding project - are initially limited for 2 years (§ 2 para. 1 WissZeitVG); the possibility of doctoral studies is given.
The Department of Energy Management and Operation of Electrical Networks (e²n) conducts research on the technically and economically optimized design, control and operation of the future, decentralized energy supply system (smart grid) with a high proportion of renewable energies as an important challenge of the energy transition to ensure a secure, cost-efficient and sustainable energy supply. In this exciting, extensive subject area, the e²n department is closely linked to the Fraunhofer Institute for Energy Economics and Energy System Technology IEE at the Kassel site through personnel links and numerous joint projects.
We are looking for reinforcement for our research team in the following main research areas:
- the automated optimization of cost-efficient, reliable and robust future grid structures
- the optimal grid development in terms of robust transformation paths e.g. of the distribution grid
- the security of supply of energy grids depending on different grid structures, operation management strategies and ICT architectures.
Your tasks:
In our team, exciting tasks for independent research in the field of simulation and optimization of power grids are waiting for you, such as:
- the development and application of potential analysis tools for the cost-benefit assessment of grid-related capacity management or optimization algorithms for the coordinated expansion and operation of electric vehicle charging infrastructure and distribution grids
- The development of optimization algorithms across distribution grid operators or of probabilistic forecasting methods. The application of stochastic simulations for sensitivity analyses or of state estimation procedures for the utilization in operational management with regard to e-vehicle use.
- The performance of techno-economic assessments.
Requirements:
- scientific university degree in the field of electrical engineering, computer science, industrial engineering, physics, (applied) mathematics or similar fields completed with very good results.
- independent and goal-oriented working style and enjoyment of scientific work.
- mathematical and theoretical understanding of complex systems.
- very good knowledge in programming and modeling of power engineering issues e.g. in pandapower/pypower, MATLAB/Simulink, DIgSILENT PowerFactory is necessary.
- Programming experience in modern languages such as Python, Java or C/C++/C#.
- you write clearly understandable source code, which enables you to develop software in a team.
- you are curious about the challenges of grid integration of renewable energies.
- you have a very good command of written and spoken German and English.
For further inquiries please contact Dr. Lars-Peter Lauven, Tel.: 0561-804-6165, E-Mail: e2n[at]uni-kassel[dot]de.
In terms of equal opportunities, the University of Kassel strives to offer women and men the same development opportunities and to counteract existing disadvantages. The aim is to significantly increase the proportion of women in research and teaching. Qualified women are therefore expressly encouraged to apply. Severely disabled applicants will be given preference if they are equally qualified and qualified. Full-time positions are generally divisible. Please submit only copies of your application documents (no folders), as these cannot be returned after the selection process has been completed; they will be destroyed in compliance with data protection regulations. Applications with informative documents should be sent to the President of the University of Kassel, 34109 Kassel or bewerbungen[at]uni-kassel[dot]de, quoting the reference number, and preferably also in electronic form.