Research Fellow in Fluid Dynamics position available

JOB OPPORTUNITY - DEADLINE 6TH JULY

Research Fellow in Fluid Dynamics

Are you an ambitious researcher looking for your next challenge? Do you have an established background in Fluid Dynamics and/or Machine Learning? Do you want to further your career in one of the UKs leading research-intensive Universities?

We are looking for a Research Fellow to join our project, working on performing Direct Numerical Simulation of turbulent fluid dynamics and using Machine Learning, Optimisation and (potentially) GPU computing. The project, which combines several new areas in fluid dynamics and automated computational science, is funded by an award of an Advanced Grant from the European Research Council.

You will work with Investigator Professor Steven Tobias, Dr Calum Skene, and Co-Investigators to conduct research into geophysical and astrophysical fluids. The aim of the project is to learn the statistics of unresolved scales for turbulent parameterization. As part of this, you will learn different mathematical and computational techniques, and apply them to diverse physical applications.

You will have a PhD in Applied Mathematics, Physics, Engineering, or a closely allied discipline, with a strong background in Fluid Dynamics and experience in designing, implementing, and analysing algorithms for fluid problems on parallel architectures.

An understanding of data-driven methods, nonlinear optimization or GPU computing would also be useful. You will have the ability to conduct independent research and a developing track record of publications in international journals. In addition, you will have excellent communication, planning and team working skills.

Full information and to apply: https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSMA1083