• Identify possibilities for the integration of data-driven methods into the numerical simulation of energy systems
  • Develop hybrid models which combine numeric methods and machine learning
  • Elaborate a broad understanding of hybrid modeling
  • Support the further development of the machine learning team at LEC
  • Interact closely within the LEC’s research team
  • Communicate the project results in regular internal meetings and to project partners
  • Disseminate the project results in the form of scientific publications and elaborate a doctoral thesis

Your profile

  • Qualified degree (MSc, Dipl.-Ing) in applied mathematics, physics, computer science, telematics or similar
  • Profound mathematical skills
  • Interest for machine learning techniques
  • Programming skills (Python, Matlab)
  • Strong interpersonal skills with initiative and perseverance
  • Technical writing skills
  • Fluent in German and/or English

Our offer

  • Doctoral thesis related to an exciting research project
  • Outstanding research infrastructure
  • Independent work in an excellent team and with international partners
  • Excellent possibilities for further professional and personal development
  • Personal and professional development opportunities
  • Full-time position with a monthly gross salary of € 3.277,-
  • Earliest starting date: immediatly


The LEC supports equal opportunities and diversity. We are looking for dedicated and motivated individuals with research talent.


Herlinde Kohlmaier