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PhD Vacancy in TU Delft – Machine Learning, Turbulence Modelling, Control in Wind Farms

Delft University of Technology (TU Delft)

The Netherlands

TU Delft, Delft Artificial Intelligence Lab (DAI) invites applications for PhD position involves a research project on the modelling and control of flows found in wind farms, at the Faculty of Aerospace Engineering. The Netherland – Oct 2021

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General Info

Position: PhD positions
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 4 Years
Salary: 2325 EURO /Month

Workplace:
Delft Artificial Intelligence Lab (DAI)
Department of Aerodynamics, Wind Energy, Flight Performance and Propulsion (AWEP)
Delft University of Technology (TU Delft)
Delft,

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Qualification Details

  • An MSc degree in applied mathematics, engineering or physical sciences.
  • Demonstrated competences in one or more of these categories: AI, computer or data science, numerical methods,    computational fluid dynamics.
  • Affinity with teaching and guiding students.
  • A background in fluid mechanics.
  • Proficiency in oral and written English.
  • The ability to work in a team, take initiative, and be results-oriented and systematic.

Responsibilities/Job Description

TU Delft is a top tier university and is exceedingly active in the field of Artificial Intelligence. The AIFluids lab was recently established to foster the use of AI in the Aerospace Sciences. Designing more efficient aircrafts and wind farms requires a deeper understanding of complex flows. The AIFluids Lab is focused on two major challenges of fluid mechanics: the prediction and the control of complex, transitional and turbulent flows.

New experimental techniques and high-fidelity flow simulations are providing larger and more detailed datasets. Using AI algorithms, the AIFluids Lab leverages numerical and experimental data to build interpretable models of transition and turbulence. Our objective is to combine human and machine insights to get to the essence of complex physical flows.

This research project focuses on the modelling and control of flows found in wind farms, including effects of atmospheric boundary-layer stratification, wake development and interaction with downstream turbines, and the effect of power production and loads.  Only with a good understand of these flows, including the ability to predict them reliably, can effective control strategies to be developed to achieve target power production and minimize loads (extending lifetime and reducing maintenance costs).  This is necessary to scale wind-energy to a dominant position in energy supply.

LES is an accurate model for these flows, but is too costly to be usable within a design or control loop.  In this project we will look at ways of achieving similar physical fidelity at reduced cost, by enhancing the accuracy of physical models with partially or completely modelled turbulence – e.g. RANS, URANS and PANS.  In particular, we will use symbolic supervised machine learning methods to develop novel turbulence closures for these models, that outperform general purpose models for these flows.  These we will couple with structural models, and use for development of wind farm control strategies.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: TUD01475
(If any, use it in the necessary place)

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Documents Required

Submit the following in two pdf files: (pdf 1) 1-page Motivation letter, your CV; (pdf 2) a (part of your) M.Sc. thesis or a paper that you have written, in which you demonstrate your writing skills.

Please highlight in your motivation letter and/or CV examples of projects and achievements that demonstrate your relevant competences.

About the Project

AIFluids is a Delft Artificial Intelligence Lab. Data, Digitalisation and Artificial Intelligence are becoming increasingly important when dealing with major scientific and societal challenges. DAI labs are co-run by experts in 'the fundamentals of AI technology' and experts in 'AI applications'. As a PhD student, you will work with at least two members of the academic staff and three other PhD candidates. In total, TU Delft will establish 24 DAI Labs, where 48 Tenure Trackers and 96 PhD candidates will have the opportunity to push the boundaries of science using AI. You will be a member of the thriving DAI Lab community that fosters cross-fertilization between talents with different expertise and disciplines.

Each team will be driven by research questions which arise from scientific and societal challenges, and contribute to the development and execution of domain-specific education. You will receive a 5-year contract, one year longer than that of a standard PhD. The extra year accounts for an increased educational load in addition to your normal research tasks, and is to be used for introducing new AI, Data and Digitalisation education related activities within our BSc and MSc programs. All team members have many opportunities for self-development.

About the Department AWEP

AIFluids is a Delft Artificial Intelligence Lab. Data, Digitalisation and Artificial Intelligence are becoming increasingly important when dealing with major scientific and societal challenges. DAI labs are co-run by experts in 'the fundamentals of AI technology' and experts in 'AI applications'. As a PhD student, you will work with at least two members of the academic staff and three other PhD candidates. In total, TU Delft will establish 24 DAI Labs, where 48 Tenure Trackers and 96 PhD candidates will have the opportunity to push the boundaries of science using AI. You will be a member of the thriving DAI Lab community that fosters cross-fertilization between talents with different expertise and disciplines.

Each team will be driven by research questions which arise from scientific and societal challenges, and contribute to the development and execution of domain-specific education. You will receive a 5-year contract, one year longer than that of a standard PhD. The extra year accounts for an increased educational load in addition to your normal research tasks, and is to be used for introducing new AI, Data and Digitalisation education related activities within our BSc and MSc programs. All team members have many opportunities for self-development.

You will work in the department of Aerodynamics, Wind Energy, Flight Performance and Propulsion (AWEP) of the Faculty of Aerospace Engineering (AE).

The Aerodynamics, Wind Energy, Flight Performance & Propulsion (AWEP) Department contributes to the future of aircraft and wind turbines, with a nucleus in Aerodynamics. The future sustainability of air transport depends greatly on innovations. We need to reduce significantly our energy consumption, our emissions and our dependence on fossil fuels. A good proportion of the innovations we need, are in the fields of aerodynamics, flight performance and propulsion. The relationship between aircraft and wind turbines is reflected in, for example, the fact that aircraft propulsion systems and wind turbines are both rotating wing systems with inverted operations. The turbine design directs towards huge, robust machines for application offshore and in energy-generating kites.

About the Employer: Delft University of Technology (TU Delft)

Working conditions

TU Delft offers DAI-Lab PhD-candidates a 5-year contract (as opposed to the normal 4-years), with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2325 per month in the first year to € 3061 in the fifth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School 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.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

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Contact details

For information about this vacancy and the selection procedure, please contact;

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