FURTHER INFORMATION

Looking for candidates available for an immediate start.
If you require any further details on the role please contact: Vito Tagarielli – v.tagarielli@imperial.ac.uk.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

ABOUT THE ROLE

The candidate will perform quantitative assessments of a number of existing and new machine learning architectures to speed up the simulation of transient fluid flows. This will involve production of training data, achieved by conducting CFD simulations in OpenFOAM, and coding and execution of the algorithms.

WHAT YOU WOULD BE DOING

You will be working to facilitate the adoption of hydrogen as a fuel, through the development of a novel software to assess the safety of hydrogen applications.