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Research Software Engineer in Computational Fluid Dynamics and Machine Learning

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Location: South Kensington

Starting date: Fixed-term until 31 March 2025  

Job Summary

Applications are invited for a Research Software Engineer within the Department of Aeronautics at Imperial College London. This position is in support of a UKRI AI for Net Zero grant (Real-time digital optimisation and decision making for energy and transport systems). 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.

The role presents an opportunity to actively participate in research, applying innovative technologies to diverse and meaningful challenges in a close-knit and supportive team. It will suit a well-organised and open-minded research software developer keen to participate in this ambitious project in an environment where personal development and proactivity are strongly encouraged.

Duties and responsibilities

You will play a key role in supporting the development of the computational fluid dynamics, the management of the data generated, and machine learning tools which will be at the heart of this project. You will contribute to enhancing the sustainability and maintainability of these tools. This will include promoting research software best practices and providing training for less experienced researchers and engineers. You will also be involved in promoting the work carried out in the project, sharing your knowledge inside and outside the Department, and participating in activities related to software engineering within the RSE community at Imperial and beyond.

Essential requirements

  • Postgraduate qualification in a computationally-based field
  • Experience as a researcher and/or research software engineer.

For a full list of requirements, please see the job description and person specification.

Further Information

This post is a fixed-term contract until 31 March 2025

Should you require any further details on the role please contact: Dr Georgios Rigas [email protected]

For technical issues when applying online please email [email protected]

For queries regarding the recruitment process please contact Lisa Kelly: [email protected]

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

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

Closing date: 27th July 2023

To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG02687.

Click Here to Apply For The Job

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