PhD Position in Forecasting of Flow Extreme Events with Scientific Machine Learning

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33 days remaining

PhD Position in Forecasting of Flow Extreme Events with Scientific Machine Learning

Deadline Published on Vacancy ID 2336
Apply now
33 days remaining

Academic fields

Engineering

Job types

PhD

Education level

University graduate

Weekly hours

36—40 hours per week

Salary indication

€2901—€3707 per month

Location

Mekelweg 5, 2628CD, Delft

View on Google Maps

Job description

Job description
Climate change and the race to decarbonize our society is making extreme events in fluids more prevalent. These are rare events where the flow suddenly takes extreme states far from its normal state. Among these, one can cite extreme atmospheric events leading to intense draught, rogue waves capable of capsizing boats, or flashback events in hydrogen-powered clean combustors.

Currently, we cannot accurately forecast such extreme events due to the chaotic nature of the underlying turbulent flows and the complex multiscale nonlinear interactions at the origin of such extreme events.

In this project, you will develop machine learning-based reduced-order models which can accurately forecast these extreme events across a series of complex flows. This will entail simulating flows with extreme events, developing hybrid physics-based/machine learning modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction.

You will join a diverse team of PhDs at the AI Fluids lab and be part of the European ERC-StG project CONTEXT. WIthin these groups, we aim to foster an inspiring and supportive environment, and therefore you will have the chance to collaborate with experienced researchers and other PhD candidates specializing in turbulent flows and artificial intelligence at the Aerodynamics Group of TU Delft. In addition, you will receive various trainings to support you in your career development.

Job requirements
We are looking for a motivated candidates who meets the following requirements:
  • MSc degree in applied sciences, computer science, mechanical or aerospace engineering.
  • Strong background in fluid dynamics (e.g. MSc thesis on a fluids-related topic), mathematics, machine learning and/or physics
  • Interest in collaborating with a diverse multinational team
  • Proficiency in the English language, both oral and written

Knowledge and experience in the following fields are also desirable but not necessary:
  • machine learning
  • numerical methods for fluid dynamics
  • different programming languages
  • high performance and parallel computing

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Aerospace Engineering
The Faculty of Aerospace Engineering at Delft University of Technology is one of the world’s most highly ranked (and most comprehensive) research, education and innovation communities devoted entirely to aerospace engineering. More than 200 science staff, around 270 PhD candidates and close to 3000 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: 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. Working in field labs and innovation hubs on our university campus and beyond.

Click here to go to the website of the Faculty of Aerospace Engineering.

Conditions of employment
Doctoral 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. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2901 per month in the first year to € 3707 in the fourth 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 a monthly work costs contribution. Flexible work schedules can be arranged.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.

Additional information
If you would like more information about this vacancy or the selection procedure, please contact Dr. Anh Khoa Doan, via n.a.k.doan@tudelft.nl.

Application procedure
Are you interested in this vacancy? Please apply no later than 15 August 2025 via the application button and upload the following documents:
  • A motivation letter (1 page max.)
  • Detailed CV
  • BSc and MSc Transcripts
  • An extract of a scientific document you wrote in English (e.g. an article or your MSc thesis)
  • Names and contacts information of at least two references (support letters can be attached but are not required)

Screening of the applications will begin immediately, and suitable candidates will be invited for an interview. You can address your application to Dr. Anh Khoa Doan.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Please note:
  • 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.
  • For the final candidates, a knowledge security check will be part of the application procedure. For more information on this check, please consult Chapter 8 of the National Knowledge Security Guidelines. We carry out this check on the basis of legitimate interest.
  • Please do not contact us for unsolicited services.

Working at TU Delft

Join the oldest and largest technical university in the Netherlands. Work on clever solutions for worldwide challenges, to change the world and make an impact. Ready to bring your energy to our research?

Challenge, change, impact!

Apply now
33 days remaining