Research Fellow in Fluid Mechanics- University of Leeds
Are you an ambitious researcher looking for your next challenge? Do you have an established background in Fluid Dynamics? Do you want to further your career in one of the UK’s leading research-intensive universities?
We are looking for a Research Fellow to join our project, working on designing, implementing and analysing algorithms to perform Direct Statistical Simulation of fluids (and potentially plasmas) in laboratory, geophysical and astrophysical settings, and comparing these with the statistics derived from Direct Numerical Simulation, where appropriate. The project (funded by the award of a European Research Council Advanced Grant) will involve the mathematical evaluation of statistical approximations, the development of computationally efficient algorithms for parallel architectures and the analysis of the effectiveness of the procedure. You will work closely with the Principal Investigator (PI) Professor Steve Tobias in the Department of Applied Mathematics, and with the Co-Investigator Professor Brad Marston in the Department of Physics at Brown University.
You will have a PhD in Applied Mathematics, Physics 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. You will also 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.
To explore the post further or for any queries you may have, please contact:
Professor Steven Tobias, Professor of Applied Mathematics
Tel: +44 (0)113 343 5172; email: S.M.Tobias@leeds.ac.uk
|Location:||Leeds – Main Campus|
|Faculty/Service:||Faculty of Mathematics & Physical Sciences|
|School/Institute:||School of Mathematics|
|Salary:||£32,548 to £38,833 p.a.|
|Working Time:||37.5 hour per week|
|Post Type:||Full Time|
|Contract Type:||Fixed Term (3 years (with the possibility of an additional two years) – due to external funding)|
|Closing Date:||Monday 15 October 2018|
|Interview Date:||Monday 22 October 2018|
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