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Ausschreibender Bereich: IEK-10 - Modellierung von Energiesystemen
Kennziffer: 2020D-039


The Institute of Energy and Climate Research, Energy Systems Engineering (IEK-10) focuses on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.

We are looking to recruit a

PhD-Position - Conception, Design and Development of a Digital Twin Approach for Modern Energy Systems

Ihre Aufgaben:

  • Analysis of the current state of the art in digital twin for energy systems
  • Definition of a bottom up approach to digital twin for energy systems
  • Definition of machine learning approaches for creation and maintenance of energy devices models
  • Development of a data basis and models for the energy infrastructures on the campus Forschungszentrum Jülich
  • Validation of the simulation models on the basis of the energy infrastructures of the campus Forschungszentrum Jülich
  • Implementation of the developed digital twin approach for real time operation
  • Evaluation of the developed digital twin approach using a Hardware In the Loop approach
  • Evaluation of the developed digital twin approach in the framework of the Living Lab Energy Campus infrastructure

Ihr Profil:

  • M. Sc. degree in Electrical / Electronic Engineering, Computer / Computational Engineering Science or comparable or a related field field with good final grade (German system equivalent 2.0 or better)
  • Strong mathematical and programming background
  • Knowledge of modelling, preferably of energy systems
  • Excellent knowledge and experience in programming (e.g. Python, Matlab, C, C++)
  • Knowledge in data analysis / Big Data
  • Experiences in mathematical optimization, simulation and machine learning
  • Excellent ability for cooperative collaboration
  • Very good communication skills in English

Unser Angebot:

  • Possibility of pursuing a PhD at Faculty of Mechanical Engineering at RWTH Aachen University supervised by Prof. Benigni
  • A highly motivated research group in one of the biggest research centers in Europe
  • An excellent scientific and technical infrastructure: both necessary conditions for a successful PhD thesis at RWTH Aachen within three and a half years
  • Participation in project meetings and conferences
  • Strong support and mentoring for setting up a future career in science and/or the industry
  • Payment of the PhD position will be based on 75% of the Collective Agreement for the Civil Service (TVöD) EG 13
  • Information on employment as a PhD student at Forschungszentrum Jülich can be found here

Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.

We also welcome applications from disabled persons.


Die Position ist bis zur erfolgreichen Besetzung ausgeschrieben. Bitte bewerben Sie sich daher möglichst zeitnah. Wir freuen uns auf Ihre Bewerbung (auf Englisch) über unser

Fragen zur Ausschreibung?
Kontaktieren Sie uns gerne unter Angabe der Kennziffer 2020D-039:
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