PhD Scholar, Data Science and Machine Learning for Energy and Smart Microgrids


Registration Deadline:

Friday, April 10, 2020, 11:10pm


  • R&D with respect to the development of self-learning algorithms for scalable design and operation of smart microgrids hosting a wide variety of energy carriers and assets.
  • Conducting the research according to the workplan of the project (including literature studies, simulations, data analysis, measurements, etc. )
  • Disseminate research results through conferences and journal publications
  • Collaborate with other researchers (internal and external) and project partners
  • Write and successfully defend a PhD thesis at the conclusion of the research


  • Scholarship is open to all nationalities
  • An academic Master degree in Computer Engineering/ Computer Science
  • Good knowledge in machine learning an data science (machine learning, artificial intelligence, optimization techniques, software engineering, big data analytics,…)_
  • Basic knowledge of the energy system
  • Interest in research and development
  • Good communication skills in English (speaking and writing)
  • Ability to work both in a team and independently while carrying out complex tasks
  • Proactive and able to take initiative


  • 1 year scholarship (renewable up to 4 years)
  • Hospitalization cover
  • Free use of public transport for travel to and from work
  • Extensive sporting facilities and a nursery on campus
  • Young, international and challenging work environment at the cutting edge of innovative research

Starting date: As soon as possible

How to apply/register:

PhD scholarship in data science and machine learning for energy and smart microgrids


Please send the following documents to:

  • CV;
  • Diplomas;
  • Transcripts;
  • Cover letter

Contact Name:

Ashleigh Hruz

Contact Email: