PhD position Physics-based machine learning of marine hydrodynamics

PhD position Physics-based machine learning of marine hydrodynamics
PhD position Physics-based machine learning of marine hydrodynamics

Published	Deadline	Location
today	31 Oct	Delft

Machine learning tools may unlock instantaneous fluid dynamic predictions in the future, but first they need to integrate physical knowledge to improve their accuracy and reliability.

Job description

Scientists and engineers are rapidly exploring Machine Learning (ML) techniques to provide fast predictions, but often find that black-box ML models cannot match the performance of standard engineering methods. Physics-based (or “scientific”) Φ-ML approaches are a promising new direction, wherein physical knowledge such as governing equations or symmetries are integrated into the ML model to improve the accuracy and reliability of predictions.

The PhD candidate on this project will study the application and development of Φ-ML modelis of marine flow fields such as those induced by ships, hydrofoils, and breaking waves. Computational fluid dynamics tools for these problems are well established, but are too slow for rapid design and operational use. The candidate will make use of the experimental and numerical modelling facilities at TU Delft, including the towing tank and the new two-petaflop DelftBlue supercomputer, to develop and validate a new prediction framework for Φ-ML modelling of marine flows. This project is also aligned with ongoing research at The Alan Turing Institute in London and The Institute for High Performance Computing in Singapore.

Specifications

• max. 38 hours per week
• €2541—€3247 per month
• Delft View on Google Maps

Delft University of Technology (TU Delft)

Requirements

Need-to-have:

• Bachelors and Masters level degree in technical field (engineering, mathematics, computer science or physics)
• Strong background in computational methods and programming
• Understanding of continuum mechanics and statistical methods
• Ability to work with an international team – requiring both individual motivation and good communication skills.

Nice-to-have:

• Expertise in fluid mechanics and/or machine learning
• Experience with computational fluid dynamics, free-surface flows, deep learning, and/or physics-based machine learning.

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 .

Conditions of employment

Fixed-term contract: 4 years.

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 € 2541 per month in the first year to € 3247 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 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.

Employer
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!

Department
Faculty Mechanical, Maritime and Materials Engineering

The Faculty of 3mE carries out pioneering research, leading to new fundamental insights and challenging applications in the field of mechanical engineering. From large-scale energy storage, medical instruments, control technology and robotics to smart materials, nanoscale structures and autonomous ships. The foundations and results of this research are reflected in outstanding, contemporary education, inspiring students and PhD candidates to become socially engaged and responsible engineers and scientists. The faculty of 3mE is a dynamic and innovative faculty with an international scope and high-tech lab facilities. Research and education focus on the design, manufacture, application and modification of products, materials, processes and mechanical devices, contributing to the development and growth of a sustainable society, as well as prosperity and welfare.

Click here to go to the website of the Faculty of Mechanical, Maritime and Materials Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

Additional information

For more information about this vacancy, please contact Gabe Weymouth: g.d.weymouth@tudelft.nl .
For more information about the application procedure, please contact Anita van Vianen, HR Advisor, application-3me@tudelft.nl

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!

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Application procedure

Are you interested in this vacancy? Please apply by 31 October 2022 via the application button.
Application documentation must contain a letter of motivation, and CV. As part of your CV, please provide a brief summary (e.g. half to single page at max) of a recent achievement (e.g. MSc work), which indicates your qualifications for the current vacancy.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Acquisition in response to this vacancy is not appreciated.