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Machine Learning to Simulate Macroscopic Phenomena for Fluid Dynamics

We are recruiting new Doctoral Researchers to our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships starting 1 October 2023. Applications are invited for the project Using Machine Learning to Simulate Macroscopic Phenomena for Fluid Dynamics

Successful applicants will receive an annual stipend (bursary) of approximately £19,668, including inner London weighting, plus payment of their full-time home tuition fees for a period of 42 months (3.5 years).

You should be eligible for home (UK) tuition fees there are a very limited number (no more than three) of studentships available to overseas applicants, including EU nationals, who meet the academic entry criteria including English Language proficiency.

You will join the internationally recognised researchers in the Department of Computer Science

The Project

This project focuses on the potential of machine learning to improve fine-scale deformation of fluid simulation, including possibilities to increase the speed of high-fidelity simulations, develop surface tension, and model the inter-particle force as an attraction-repulsion function, which is responsible for causing short-range repulsion and long-range attraction. The developed algorithm can help produce reduced-order models beyond what can be achieved with Computational Fluid Dynamics (CFD) approaches for macroscopic dynamic phenomena.

Please contact at Dr Nadine Aburumman at for an informal discussion about the studentships.



Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.

Skills and Experience

This project will require familiarity with programming languages such as Java, C++, Python, or similar as well as an understanding of fluid dynamics and machine learning techniques

How to apply

There are two stages of the application:

1.Applicants must submit the pre-application form via the following link by 16.00 on Friday 26th May 2023.

2.If you are shortlisted for the interview, you will be asked to email the following documentation in a single PDF file to within 24hrs.

  • Your up-to-date CV;
  • Your Undergraduate degree certificate(s) and transcript(s) essential;
  • Your Postgraduate Masters degree certificate(s) and transcript(s) if applicable;
  • Your valid English Language qualification of IELTS 6.5 overall (minimum 6.0 in each section) or equivalent, if applicable;
  • Contact details for TWO referees, one of which can be an academic member of staff in the College.

Applicants should therefore ensure that they have all of this information in case they are shortlisted.

Interviews will take place in June 2023.


Meet the Supervisor(s)

Nadine Aburumman - Nadine is a lecturer at the Computer Science Department, and a member of the Intelligent Data Analysis (IDA), the Interactive Multimedia System (IMS) and Human-Computer Interaction (HCI) research groups. Before joining Brunel, Nadine was a research associate at the Institute of Cognitive Neuroscience (ICN) at University College London (UCL). Prior to that, she was a postdoctoral researcher at the Computer Science Research Institute of Toulouse (IRIT) funded by Centre International de Mathématiques et Informatique de Toulouse (CIMI) after a successful grant acquisition for 2 years (€ 56K). Before that, she was a postdoctoral researcher at the Friedrich-Alexander University Erlangen-Nürnberg, in the Institute for Multiscale Simulation (MSS). She completed her PhD studies in the ALCOR Lab at Sapienza University of Rome after being awarded Erasmus Mundus Scholarship.