Scope: fulltime, fixed term until April 30th, 2028
The Institute of Electrical Power and Energy Technology (ieet) at Hamburg University of Technology (TUHH) conducts research and teaching in electrical energy systems. Our research covers the modelling, planning, operation, control, and stability analysis of electrical power systems, including systems with renewable and power-electronic-based components. Further areas include multi-energy system modelling, sector-coupled energy systems, and the modelling, control, and operation of onboard energy systems for aircraft and ships. We also apply methods from control engineering, information and communication technologies, optimization, and artificial intelligence to electrical energy systems.
The KOVER research project investigates decentralized and self-organized coordination in low-voltage distribution grids. Its aim is to enable customers to coordinate their energy consumption with neighbouring customers without access to information on the overall grid state or a central coordination mechanism. Based on locally available information, relevant grid conditions are estimated and local operation is adapted to avoid constraints such as congestion and voltage violations.
YOUR TASKS
Research on the modelling, simulation, and operation of low-voltage distribution grids within the research project
Development and implementation of methods for decentralized and self-organized coordination of energy consumption based on local smart meter data
Application of artificial intelligence methods for grid-state estimation and coordination of distributed energy resources
Analysis of cyber resilience as well as validation of the developed methods using simulation and hardware-in-the-loop experiments
Support of teaching activities at ieet and supervision of student projects
YOUR PROFILE
Requirements
Completed scientific university studies (masters degree or equivalent), in particular in the subject Electrical Engineering with a specialization in Electrical Power Engineering, Energy Engineering, Control Engineering or a closely related field
Desired knowledge and personal skills
Good knowledge of electrical power systems and experience in power-system modelling and simulation
Proficiency in programming, preferably with Python and MATLAB/Simulink/OPAL
Familiarity or experience with artificial intelligence and its applications in electrical energy systems
Modeling or implementation of distribution-grid operation, grid-state estimation, cyber resilience evaluation, and hardware-in-the-loop testing
Strong communication skills in German and English (B2/C1), combined with an independent, well-structured approach to work and enthusiasm for contributing to research and teaching
OUR OFFER
A job in an interesting, friendly and appreciative working environment
Possibility of mobile working
Flexible and family-friendly working conditions
30 day vacation per year
Opportunity to obtain academic qualifications in the form of a doctorate/opportunity for further academic qualification
At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.
With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.
For further information please contact Prof. Christian Becker, Tel.-Nr. +49 40 30601 3113, Email: .
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Collectively agreed pay
4.759 € – 6.765 €gross / month
Per the job ad: TV-L, pay group E13. The ad names no level, so this spans all 6 levels. Full-time.
