Delft University of Technology TU Delft The Netherlands - Logo

Postdoctoral Researcher – Reliable Estimation of Extreme Wind Gusts Using Machine Learning – Netherlands Nov 2021

The Netherlands

The Delft University of Technology invites applications for a Postdoctoral researcher Reliable Estimation of Extreme Wind Gusts Using Machine Learning, at the Faculty of Civil Engineering & Geosciences (CEG), The Netherlands – Nov 2021 (Job Opportunities for data science, machine learning, computer science PhD degree holders)

Support us by Sharing!

ADVERTISEMENT
Scroll Down for Content

General Info

Position: Postdoctoral Researcher
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired on
Joining Date: ASAP
Contract Period: Not Mentioned
Salary: 2.836 EURO/Month

Workplace:
Faculty Civil Engineering and Geosciences
TU Delft


Delft,

ADVERTISEMENT
Scroll Down for Content

Qualification Details

Required:

  • Ph.D. degree in computer science, engineering, or related disciplines
  • Peer-reviewed publications in application of machine learning
  • Strong working knowledge of various machine learning frameworks (e.g., Keras, TensorFlow, PyTorch)
  • Proficiency in python
  • Strong communication skills and fluency in English

Preferred:

  • Ph.D. degree in data science or machine learning
  • Experience with Linux environment

Responsibilities/Job Description

Offshore wind energy is a key plank of the European Green Deal to achieve zero net greenhouse gas emissions by 2050. However, the development of offshore wind farms is still high-risk. Rare but high impact extreme wind gust (EWG) phenomena have the potential to cause costly damage and jeopardise security of supply in a de-carbonised power system. The present understanding of these EWG phenomena over the North Sea region is limited, and as yet there is no climatology of gust events. Owing to the sparseness of wind measurements over the North Sea, it is not surprising that the EWG events are often not captured. These small-scale, localized structures also pose challenges for numerical weather prediction (NWP) models. Contemporary NWP models cannot explicitly resolve gusts due to a lack of spatial resolution, and even with a state-of-the-art gust parameterization, severely underestimate the strength of these events. In order to circumvent these issues, in a newly funded project, we have reformulated the gust estimation problem as an `image regression' problem.

We are looking for a postdoctoral researcher who will utilize state-of-the-art deep learning tools (e.g., convolutional neural networks) in conjunction with high-resolution weather radar data for reliable estimation of extreme wind gusts. In addition, the postdoc will also develop a decision tree-based model (e.g., XGBoost, CatBoost) to estimate the impact of EWG events on wind turbine structural loads. The research findings will be presented in an international conference and disseminated via peer-reviewed publications.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: TUD01560
(If any, use it in the necessary place)

ADVERTISEMENT
Scroll Down for Content

Documents Required

Please apply before November 15, 2021 via the application button and upload your motivation and CV.

  • You can apply online. We will not process applications sent by email and/or post.
  • A pre-Employment screening can be part of the selection procedure.
  • Acquisition in response to this vacancy is not appreciated.

About the Faculty

Faculty Civil Engineering and Geosciences

The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource depletion, urbanisation and the availability of clean water, conducted  in close cooperation with a wide range of research institutions. CEG is convinced that Open Science helps to achieve our goals and supports its scientists in integrating Open Science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.

Click here to go to the website of the Faculty of Civil Engineering & Geosciences.

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

Conditions of employment

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication scale 10: € 2.836,00 - € 4.474,00). The TU Delft offers a customisable compensation package, a discount 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. An International Children's Centre offers childcare and there is an international primary school.

ADVERTISEMENT
Scroll Down for Content

Contact details

For more information about this vacancy and the application procedure, please contact Dr. Sukanta Basu, Associate Professor, Department of Geosciences and Remote Sensing, Faculty of Civil Engineering and Geosciences, TU-Delft (s.basu@tudelft.nl).

Advertisement Details: Postdoc Reliable Estimation of Extreme Wind Gusts Using Machine Learning

Other Vacancies from this field ,

ADVERTISEMENT
Scroll Down for Content

Support us by Sharing!