PhD Scholarship 'Data-driven modelling in fluid mechanics'

Vrije Universiteit Brussel


August 18, 2021


PhD Scholarship 'Data-driven modelling in fluid mechanics'

Category: PhD

1 - Working at the VUB

For already 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and connectedness. These values are strongly present on our campuses, in our students as well as our staff. At the VUB, you'll find a diverse collection of personalities: pure innovators and especially people who are 100% their authentic selves. With about 3.500 employees , we are the largest Flemish-speaking employer in Brussels , an international city with which we are all too happy to be connected, and around which our four campuses are located.

Our education and research are grounded in the principles of free research with an eye on human progress. We disapprove of every purely authoritative argument and guarantee the free formation of judgement that is necessary for this basic principle to be incorporated in the community.

The VUB is autonomous and managed democratically. As such, we guarantee fundamental freedoms within our university, as well as the right of the university community to be involved in making and checking university policy.

The mission of the university includes:

  • the development, the transfer and the application of high-standing academic education and scientific research, free from any prejudice;
  • community integration of this in a spirit of social compassion;
  • critical development of everyone in light of the responsibilities borne in the community.
  • 2 - Position description

    The Faculteit Ingenieurswetenschappen , Department Industriële ingenieurswetenschappen , is looking for a PhD-student with a doctoral grant.

    More concretely your work package, for the preparation of a doctorate, contains:

  • You'll become a member of the FLOW research group, a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling;
  • At FLOW, we have a unique expertise in both physical and data-driven modelling of thermal-fluid systems. In this project, the focus will be on the data-driven modelling of fluid flows. Many applications in engineering rely on mathematical models for the design, optimisation, control, and monitoring of systems and subsystems. When high-fidelity models are required, numerical (CFD) models are often the first choice. When simple (low-order) models are needed, then either the CFD models are reduced, or empirical models are used that are typically fine-tuned using experimental data. However, such empirical models are often overly simple and therefore cannot be used in many cases (often when unsteadiness, nonlinearity, and/or turbulence play a major role). Recent advances in the nonlinear system identification and machine learning communities have resulted in the development of a number of tools that show great potential for the modelling of fluid flows. In particular, our group has pioneered the use of nonlinear data-driven state space models for fluid-dynamics applications, with proof-of-concepts such as oscillating cylinders and pitching aerofoils. In this project, the objective is to compare data- driven modelling techniques (from system identification and machine learning) to achieve improved design and control of fluid-dynamics systems;
  • You will first need to become proficient in the construction of reduced- order and data-driven models;
  • Throughout the project, you will also need to follow up recent advances in these fields;
  • Your research will entail:
  • the development of data-driven models using system identification and machine learning techniques, starting from CFD data or experimental data available in the research group;
  • the comparison of different modelling approaches;
  • the reduction of data-driven models, using techniques developed in our group, with the aim of making the models more compact and interpretable;
  • Furthermore, you will be expected to apply for external funding, to write, submit, and follow up on articles, and actively participate in scientific conferences;
  • You will be expected to assist in the teaching of lab work and exercise sessions of undergraduate courses in mechanical engineering, as well as the supervision of undergraduate student projects;
  • For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.

    3 - Profile

    What do we expect from you?

    You must hold a master's degree in Engineering, or in Physics, or in Applied mathematics, or an equivalent master's degree;

  • Preferably, you have experience with the numerical modelling of fluid flow (CFD or mesoscale modelling);
  • Honours are recommended;
  • Good knowledge of English is required;

  • You have not performed any works in the execution of a mandate as an assistant, paid from operating resources, over a total (cumulated) period of more than 12 months.

  • 4 - Offer

    Are you going to be our new colleague?

    You'll be offered a full-time PhD-scholarship , for 12 months (extendable up to max. 48 months, on condition of the positive evaluation of the PhD activities), with planned starting date 01/10/2021.

    You'll receive a grant linked to one of the scales set by the government.

    IMPORTANT: The effective result of the doctorate scholarship is subject to the condition precedent of your enrolment as a doctorate student at the university.

    At the VUB, you're guaranteed an open, involved and diverse workplace where you are offered opportunities to (further) build on your career.

    As well as this, you'll enjoy various benefits:

  • Full reimbursement for your home-work commute with public transport according to VUB-policy, or compensation if you come by bike;
  • Cost-free hospitalisation insurance ;
  • The space to form your job content and continuously learn via VUB LRN;
  • Excellent facilities for sport and exercise ;
  • Ecocheques ;
  • Delicious meals at attractive prices in our campus restaurants ;
  • An open, family-friendly work environment where attention is paid to work- life balance, and exceptional holiday arrangements with 35 days of leave (based on a fulltime contract).
  • 5 - Interested?

    Is this the job you've been dreaming of?

    Send us ONLINE and at latest on 09/08/2021 your CV, letter of motivation and the highest degree you've attained (not applicable for VUB alumni).

    Do you have questions about the job content? Contact Prof. dr. ing. Tim De Troyer of Prof. dr. Mark Runacres at (voor 15/07/2021) of (na 15/7/2021) or on +32 (0)478 25 61 69 (voor 15/07/2021) of +32 (0)476 41 24 63 (na 15/07/2021).

    Would you like to know what it's like to work at the VUB? Go to www. and find all there is to know about our campuses, benefits, strategic goals and your future colleagues.

    Similar Jobs

    University of Twente

    Netherlands Jul 6, 2021

    Add to favorites

    Assistant/Associate Professor in PDE and Data Analysis

    Mathematics and its Applications in Science and Engineering? We offer a position at the interface of PDE and Data Analysis in the Applied Mathematics at the University of Twente (UT). The challenge : You will...

    University of Groningen

    Netherlands Jul 7, 2021

    Add to favorites

    PhD position in dynamical systems and optimization (1.0 FTE)

    PhD position in dynamical systems and optimization (1.0 FTE) (221453) The objective of the temporary position is to carry out scientific research, which will form the basis of a thesis leading to a PhD degree...

    University of Twente

    Netherlands Jul 6, 2021

    Add to favorites

    Assistant/Associate Professor in Dynamics and Deep Learning

    Mathematics and its Applications in Science and Engineering? We offer a position at the interface of Dynamics and Deep Learning in the Mathematics (AM) at the University of Twente (UT). The challenge : You will...

    Add to favorites

    Assistant Professorship (W2, Tenure Track) Data-infused Modeling in Structural Dynamics

    their activities in this area in research and teaching. Technical University of Darmstadt is advertising a total of two professorships in the context of AI in the engineering sciences with this professorship. The Department of...