A 28 month post-doctoral research associateship is available at the Department of Mathematics at the University of York for an EPSRC funded project entitled, “Asymptotic approximation of the large-scale structure of turbulence in axisymmetric jets: a first principle jet noise prediction method”. The successful candidate will work with the Principal Investigator, Dr. M. Zamir Afsar Koshuriyan. The University of York offers flexible working patterns and a number of family friendly initiatives. As a Department we are proud to foster a supportive culture that helps staff and students contribute fully, flourish and excel, to reach their full potential. We embrace equality, diversity and inclusion as well as the values of the Athena SWAN Charter in all our Departmental activities.
We are looking to recruit an individual who will develop computational codes to model the fluid dynamics of turbulence in jets based on self-consistent asymptotic approximations. The successful candidate shall write a first-of-its-kind numerical solver to determine the fluctuating Reynolds stress source term (from a given jet mean flow) using theoretical analysis developed by Dr. M. Z. A. Koshuriyan. The solution to the asymptotic – Large-Scale Turbulence (LST) – equations will then be post-processed to determine statistical auto-covariances, frequency/wavenumber spectrum, and far-field jet noise using our existing acoustic codes. Among the questions we shall answer is, how viable is the LST–based solution approach for turbulence reconstruction and acoustic prediction?
You will have a Master’s degree in Applied Mathematics, Aeronautics, or other related discipline such as Mechanical Engineering and hold a PhD in Applied Mathematics, Aeronautics, or other related discipline as well.
Evidence of extensive experience in Computational Aero-acoustics, specifically (but not exclusively) in Jet Noise/turbulence modelling is required. As well as:
Interview date: Week commencing 25 September 2023
For informal enquiries: please contact (Dr Zamir Koshuriyan) on zamir.koshuriyan@york.ac.uk or maths-hr@york.ac.uk.
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We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.
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In your application, please refer to Professorpositions.com