Job summary

We are seeking an excellent post-doctoral researcher to join the ERC-funded AFIRMATIVE project at Imperial College London. This position will be based in the Thermofluids Division within the Department of Mechanical Engineering.

The project will develop predictive tools for thermoacoustic instability, a damaging phenomenon which arises due to a two-way interaction between acoustic waves and unsteady heat release rate, and which is hindering the development of future low carbon combustors. The position will involve applying machine learning and data-driven methods to the prediction of thermoacoustic instability. Data-driven models will be trained on data from the research group’s low order network solver, combined with CFD, analytical or experimental data for the flame. These models will span physics-informed and black-box approaches and results will be evaluated to extract important physical insights. This will inform methods for eliminating thermoacoustic instabilities in the aerospace and power industries, and for optimising acoustic dampers across a wide range of industries

Duties and responsibilities

  • You will identify key aspects of thermoacoustic stability prediction suitable for machine learning and data-driven methods.
  • You will develop and curate appropriate training data sets from low order network models, CFD, experiments or analytical models.
  • You will develop and implement the machine learning and data-driven methods computationally.
  • You will analyse results and evaluate to extract important physical insights.

Essential requirements

  • You should have (or be close to completing) a PhD in an Engineering, or other relevant subject area.
  • You should have research experience in thermoacoustic instability and either experiments or simulation of fluid flows.
  • You must have experience of computer coding including in Matlab and preferably also in Python.
  • You should have knowledge of the background theory in the fields of fluid mechanics and thermoacoustics.

Further information

This is a fixed term position for until May 2023 in the first instance.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,694 – £39,888 per annum.

Queries relating to the position should be directed to Professor Aimee Morgans at .

To apply, please click “APPLY NOW” to go through to the online application form. Should you have any queries regarding the application process please contact ME-.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

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