Category: PhD
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The Faculty of Engineering , Department Toegepaste mechanica , is looking for a PhD-student with a doctoral grant.
More concretely your work package, for the preparation of a doctorate , contains:
If you are interested in offshore wind energy, data processing and machine learning, we offer you a challenging research position with high industrial relevance within OWI-lab (VUB).
OWI-lab was founded in 2010 to support R&D in the field of offshore wind energy in Belgium. OWI-lab has years of experience in performing measurements on wind turbines and thus has access to the largest research database filled with long-term data. With this data, we conduct industrial research together with our partners, the results of which flow back for better management and design of this essential infrastructure.
You will be part of a young and dynamic research team in an international environment characterised by collegial respect and academic freedom.
You will work on the project MAXWIND. The overall goal of the project is to get a correct estimate of the remaining lifetime of the offshore foundations based on the measured data. With this information, we will both optimise the future design of similar foundations, build an optimised inspection and maintenance plan and substantiate a potential lifetime extension of offshore wind farms.
Specifically, you will further work around the already developed concepts of virtual monitoring and extrapolating measurements on single turbines to a remaining lifetime estimate for the entire farm. For this, you will use the state-of-the-art in machine learning to uncover the relationships between turbine controls and their impact on turbine fatigue. Well-trained models will then enable you to make a prediction in the remaining lifetime of the entire park. With this research, we also want to go a step further and start giving an uncertainty on the predicted lifetime in addition to a prediction.
Do you have a natural interest in working with real data, working in an industrial/socially relevant research domain and a drive to delve further into machine learning? Are you not averse to Python and want to help translate research into useful tools that can be used more widely? Do you want to deepen your knowledge of (offshore) wind energy and fatigue, and also share this with the broader (scientific) community? Then this doctoral research is definitely for you!
For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
3 - ProfileWhat do we expect from you?
You hold a Master of Science degree in Mechanical or Civil Engineering
You have excellent communication skills in English, both orally and written.
You have not performed any works in the execution of a mandate as an assistant, paid from operating resources, over a total (cumulated) period of more than 12 months.
Are you going to be our new colleague?
You'll be offered a full-time PhD-scholarship , for 12 months (extendable up to max. 48 months, on condition of the positive evaluation of the PhD activities), with planned starting date 01/03/2023.
You'll receive a grant linked to one of the scales set by the government.
IMPORTANT: The effective result of the doctorate scholarship is subject to the condition precedent of your enrolment as a doctorate student at the university.
At the VUB, you're guaranteed an open, involved and diverse workplace where you are offered opportunities to (further) build on your career.
As well as this, you'll enjoy various benefits:
Is this the job you've been dreaming of?
Send us ONLINE and at the latest on 15/02/2023 your CV, letter of motivation and the highest degree you've attained (not applicable for VUB alumni).
Do you have questions about the job content? Contact Christof Devriendt at [email protected] or on 0477412049.
Would you like to know what it's like to work at the VUB? Go to www. vub.ac.be/vacatures and find all there is to know about our campuses, benefits, strategic goals and your future colleagues.