PhD Scholar, Data Science and Machine Learning for Energy and Smart Microgrids
TASKS
- 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
PROFILE
- 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
OUR OFFER
- 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