PhD Scholarship In Data Science & Machine Learning For Energy & Smart Microgrids In Belgium 2023

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PhD Scholarship In Data Science & Machine Learning For Energy & Smart Microgrids In Belgium

Applications are open for the PhD Scholarship in Data Science and Machine Learning for Energy and Smart Microgrids. Through the program, MOBI is looking for a Doctoral researcher data science and machine learning for energy and smart microgrids.

The program is offering an opportunity to work in the research group MOBI and the position is extant in the Faculty of Engineering Sciences of Vrije Universiteit Brussel.

Mobility, Logistics, and Automotive Technology Research Centre (MOBI) has been very successful in its acquirement of innovative research projects for this new ambitious initiative, both on national and European level.

Scholarship Description

Applications Deadline: February
Course Level: The scholarships are open in the Ph.D. level program.
Study Subject: The program is open in the field of engineering.
Scholarship Award: Competitive salary, Hospitalization cover, Free use of public transport for travel to and from work, Extensive sporting facilities and a nursery on campus, and Young international and challenging work environment at the cutting edge of innovative research
Nationality: Internationally
Number of Scholarships: Not given
Scholarship can be taken in Belgium

Eligibility for the Scholarship

To be eligible, the applicants must be following all the given criteria:

Eligible Countries: All nationalities are eligible to apply.
Entrance Requirements: 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 the initiative

Program Tasks: The given tasks will be completed by the candidates during the program.

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 work plan 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