Postdoctoral Research Associate

at  University of Edinburgh

FULL TIME - 35 HOURS PER WEEK.

We are looking for a talented early career researcher in fluid dynamics and/or machine learning, with expertise in computational methods to work on the project “A new understanding of turbulence via a machine-learnt dynamical systems theory” (UKRI Frontier Research Guarantee for an ERC Starting Grant).

YOUR SKILLS AND ATTRIBUTES FOR SUCCESS:

• Excellent knowledge of fluid mechanics fundamentals
• Experience implementing machine learning approaches and/or high performance computing for flow simulations (Desirable).
• Strong coding skills in an object-oriented language
• Experience with machine learning libraries (e.g. one or more of JAX, TensorFlow, PyTorch) would be highly beneficial (Desirable).
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  Applicants should upload a CV and a brief research statement (max two pages) when applying for the post online. In addition, they should arrange for at least two letters of reference to be sent direct to references@maths.ed.ac.uk quoting the reference number 11030 . For informal enquiries please contact Jacob Page – jacob.page@ed.ac.uk

Please refer the Job description for details