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PhD Position in Wind Resource Assessment Using Machine Learning
2 maanden geleden
This PhD position is part of the EU MSCA Doctoral Network TWEED, which aims to train the next generation of researchers in wind energy digitalisation. The project focuses on developing high-impact careers in wind energy digitalisation by applying machine learning to wind resource assessment.
The traditional approach to wind resource assessment has focused on numerical models and simple statistical techniques. However, the availability of large amounts of meteorological and digitised terrain data from terrestrial and remote sensing equipment, as well as reanalysis datasets, provides a rich source of information for site-specific resource assessment. The specific objective of this PhD position is to investigate how machine learning can be used to produce more accurate resource assessments as an alternative to physical modelling and as a supplement for onshore and offshore applications.
RequirementsThe candidate should have an MSc degree in wind energy or a related engineering discipline, such as mechanical engineering, fluid dynamics, applied physics, or applied mathematics, with proven experience in wind engineering. A combination of good mathematical and analytical skills and a strong interest in numerical modelling and data analysis are required. Experience with numerical fluid dynamics and knowledge of data-driven techniques is desirable.
The candidate must not have resided or carried out their main activity in the country of their first host institution for more than 12 months in the 3 years immediately before their recruitment. The candidate must also have a master's degree relevant to the chosen position or its equivalent that would entitle them to a doctorate, awarded before the start of the positions.
Conditions of EmploymentDoctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5-year contract with an official go/no-go progress assessment within 15 months will be followed by an additional contract for the remaining 2.5 years, assuming everything goes well and performance requirements are met.
The salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €2770 per month in the first year to €3539 in the fourth year. As a PhD candidate, you will be enrolled in the TU Delft Graduate School, which provides an inspiring research environment with an excellent team of supervisors, academic staff, and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related, and research skills.
Faculty of Aerospace EngineeringThe Faculty of Aerospace Engineering at Delft University of Technology is one of the world's most highly ranked research, education, and innovation communities devoted entirely to aerospace engineering. The faculty focuses on sustainable aerospace, big data and artificial intelligence, bio-inspired engineering, and smart instruments and systems. Working at the faculty means working together with partners in other faculties, knowledge institutes, governments, and industry, both aerospace and non-aerospace.
