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Advertising division: IEK-10 - Energy Systems Engineering
Reference number: 2019D-235

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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 offering a

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

Your Job:

  • 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


Your Profile:

  • 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


Our Offer:

  • 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 http://www.fz-juelich.de/gp/Careers_Docs


Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.

We also welcome applications from disabled persons.

Additional Information

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible. We look forward to receiving your application via our
Online-Recruitment-System!

Questions about the vacancy?
Contact us by mentioning the reference number 2019D-235: career@fz-juelich.de
Please note that for technical reasons we cannot accept applications via email.