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Research Associate (Wissenschaftlicher Mitarbeiter) (m/f/d) - Application of Machine Learning for Energy Systems in Power Hardware-in-the-Loop (PHIL) Environment

Chair of Intelligent Energy Management

Application deadline:

The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. The Chair of Intelligent Energy Management at the University of Bayreuth is currently seeking to appoint a

Research Associate (Wissenschaftlicher Mitarbeiter (m/f/d) - Application of Machine Learning for Energy ​Systems in Power Hardware-in-the-Loop (PHIL) Environment

to support the research and teaching activities of the chair at earliest possible convenience. The full-time position is initially limited to 3 years, with the possibility of a further extension, and also serves the candidate's own scientific qualification (doctorate). Remuneration will be in accordance with pay group 13 TV-L.

The Chair of Intelligent Energy Management focuses on the future of multi-energy systems employing cutting-edge technologies such as digital twins, Internet of Things (IoT), artificial intelligence (AI) and quantum computing to optimize energy grids operation and to promote adaptation of renewable energy sources. The position offers the opportunity to work in a dynamic, research-oriented environment that contributes to the global energy transition. Further, the position offers academic freedom to initiate, lead and execute new projects in the areas of digitalization and sustainability of energy systems.

Your responsibilities:

  • Supporting teaching in the field of energy management in German and English
  • Development of an Energy System Power-Hardware-in-the-Loop (PHIL) laboratory
  • Development and demonstration of intelligent control approaches based on Machine Learning
  • Collaborate with faculty members and industry partners to develop and implement innovative digital solutions in energy management
  • Promotion of research results through participation in national and international conferences and publication in renowned scientific journals


Your profile:

  • Master’s degree in a relevant field (electrical engineering, mechatronics, or computer science) with the focus on power grids operation and real-time simulations
  • Experience with hardware-in-the-loop (HIL) experiments and real-time simulations of energy systems
  • Very good communication skills in German and English
  • Interest in project management and collaboration with industrial partners


What we offer:

  • A dynamic and supportive research environment with significant research freedom
  • Opportunities to collaborate with world-leading academic institutions and companies in the energy sector
  • Flexible working hours
  • Support for professional development, including coaching and training opportunities
  • Corporate health management
  • Work-life balance


The University of Bayreuth values the diversity of its employees and is expressly committed to the goal of gender equality. Women are strongly encouraged to apply. Applicants with children are very welcome. The University of Bayreuth is a member of the Best Practice Network "Familie in der Hochschule e.V." and has successfully participated in the HRK audit "Internationalization of the University". Persons with severe disabilities will be given preferential consideration if equally qualified.


Your application

Please apply online with detailed application documents by 1st of March 2025 using the application portal of the University of Bayreuth, stating the keyword “Research Associate – Intelligent Energy Management”. The documents will be deleted in accordance with data protection requirements once the position has been filled.

If you have any questions, please contact Prof. Dr. Vedran Perić (vedran.peric@uni-bayreuth.de ).