Research Assistant/ Associate in Physics-Aware Machine Learning for Wind Farm Optimisation

Job summary

Applications are invited for the role of Research Assistant / Associate in physics-aware machine learning for wind farm optimisation. This is a fully-funded post until 31 March 2025. This position is funded by a UKRI AI for Net Zero grant. The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid...

Job listing information

  • Reference ENG02610
  • Date posted 28 April 2023
  • Closing date 28 May 2023

Job description

Job summary

Applications are invited for the role of Research Assistant / Associate in physics-aware machine learning for wind farm optimisation. This is a fully-funded post until 31 March 2025. This position is funded by a UKRI AI for Net Zero grant. The over-arching goal is to develop machine learning methods that are aware of the physics of the problem for the realization of real-time digital twins of engineering systems. Applications involve fluid mechanics and nonlinear partial differential equations.

You will develop physics-aware machine learning for the optimisation of wind farm (layout optimisation and maximisation of power). The position involves computational fluid dynamics, high performance computing and a good understanding of turbulent flows. You will also contribute to maintaining and developing the wind farm simulator Winc3d which is part of the Xcompact3d framework of solvers based on finite-difference methods.

Duties and responsibilities


  • Develop physics-aware machine learning methods for optimisation of wind farms taking advantage of GPUs

  • Develop physics-aware machine learning methods for optimisation of unsteady flows.

  • Contribute to adding new capabilities to the Xcompact3d framework.


Disseminate research with peer-reviewed publications and conference presentations (with the PI) 

Essential requirements


  • PhD (or equivalent doctorate degree) in Engineering, Applied Mathematics, Computing, or a closely related discipline.

  • Practical experience within a research environment and/or publication in relevant and refereed journals.

  • Broad range of techniques including fluid mechanics, data-driven methods, programming and high performance computing.

  • Knowledge of fluid mechanics and optimisation.

Further information

This post is a full time, fixed-term contract until 31 March 2025.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £38,194 - £41,388 per annum.

Should you require any further details on the role please contact: Prof Sylvain Laizet s.laizet@imperial.ac.uk

For queries regarding the recruitment process please contact Lisa Kelly: l.kelly@imperial.ac.uk

 

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 where their use is shown to be necessary for developing new treatments and making medical advances. 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

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: 

  • Respect              
  • Collaboration
  • Excellence          
  • Integrity
  • Innovation

In addition to the above, employees are required to observe and comply with all College policies and regulations.

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 reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

For technical issues when applying online please email support.jobs@imperial.ac.uk.