PhD student on the subject of digital twins to understand flow in pipelines

Centrum Wiskunde & Informatica (CWI) has a vacancy at the interface of the Scientific Computing and Machine Learning research groups for a talented PhD student on the subject of digital twins to understand flow in pipelines.

Centrum Wiskunde & Informatica (CWI) has a vacancy at the interface of  the Scientific Computing and Machine Learning research groups for a talented PhD student on the subject of digital twins to understand flow in pipelines.

Job description
In the context of an intensive cooperation between research groups in the Netherlands (CWI Amsterdam, Shell in Amsterdam) and in India (IISc Bangalore, Shell Bangalore), we are hiring a PhD student for research on digital twins to understand flow in pipelines. This work is based on advanced deep learning, detailed computational fluid dynamics, and the incorporation of sensor data in flow solvers.

Research work:

This project deals with the development of a digital twin for the detection of leakages in pipelines. We deal with single phase flow in water networks in the city of Bangalore and we will work on multiphase flow in industrial pipelines in collaboration with Shell as the industrial partner in this project. The digital twin connects sensor data and advanced fluid solvers in order to detect possible leakage of fluid from the

pipeline in real-time. A serious challenge within the concept of the digital twin is that the fluid flow model is typically much too slow to compute within real-time. With the help of deep neural networks (DNNs) and Generative Adversarial Networks (GANs) we aim to augment expensive fluid flow solvers by a learned function form which is much cheaper to evaluate.

Collaborators:

  • Sander Bohte (CWI) is also professor at the University of Amsterdam and the Rijksuniversiteit Groningen, with expertise on neural networks and their various applications.
  • Cornelis Oosterlee (CWI) is also professor at the Delft University of Technology in Applied Mathematics with experience in computational fluid dynamics, uncertainty quantification.
  • Ruud Henkes (Shell) is also professor in mechanical engineering at the DelftUniversity of Technology, with expertise in fluids and particularly in pipe flow.
  • Svetlana Dubinkina (CWI) is a member of the consortium with expertise in data assimilation.
  • Benjamin Sanderse (CWI) is member of the consortium with expertise incomputational fluid dynamics.

There is an extensive collaboration with researchers in India and it is expected that during the research period the collaborators in India are visited several times.

Requirements
The preferred excellent candidate has a Master’s degree with a solid background in computational fluid dynamics, and experience in, or high interest in, neural networks and machine learning algorithms. Preferable qualifications for candidates include proven research talent, an excellent command of English, and good academic writing and presentation skills.

Terms and conditions PhD Student
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The initial labour agreement will be for a period of 18 months. After a positive evaluation, the agreement will be extended by 30 months. The gross monthly salary, for a PhD student on a full time basis, is €2,346 during the first year and increases to €3,007 over the four year period.

Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling and help with housing for expat employees.

Please visit our website for more information about our terms of employment: https://www.cwi.nl/jobs/terms-of-employment

Application
Applications can be sent before 25 June 2019 to apply@cwi.nl.

The start of the position is per 1 September 2019.

All applications should include a detailed resume, motivation letter, list of your MSc courses and grades, copy of your Master’s thesis and preferably a list of publications.

For residents outside the EER-area, a Toefl English language test might be required.

For more information about the vacancy, please contact prof. Cornelis Oosterlee, email c.w.oosterlee@cwi.nl.

For more information about CWI, please visit www.cwi.nl or watch our video about working at CWI.

CWI encourages a diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities.

About Centrum Wiskunde & Informatica
Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes Organisation of the Dutch Research Council (NWO). The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large.

CWI is an internationally oriented institute, with 160 scientists from approximately 27 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses.

CWI is located at Science Park Amsterdam, the home of AMS-IX, that is presently developing into a major location of research in the physical sciences in The Netherlands, housing the sciences of the University of Amsterdam as well as several other national research institutes next to CWI.

Research group
To find more information about the groups, please visit the group page and watch their video.

https://www.cwi.nl/research/groups/scientific-computing