The University of Leeds Faculty of Engineering & Physical Sciences calls application for Postdoctoral Research Fellowship in Fluid Dyamica in the United Kingdom. The Research Fellow will join the project, working on performing Direct Statistical Simulation (DSS) of partial differential equations (PDEs) and Machine Learning for turbulent flows. The project, which combines several new areas in statistics, PDEs and automated computational science, is funded by an award of a targeted grant from the Simons Foundation. The project is funded as part of the project “Revisiting the turbulence problem using statistical mechanics”.

Responsibilities

• Developing methods for understanding and modeling the nonlinear interactions that lead to turbulent transport in rotating and non-rotating systems.
• Analyzing the interaction of turbulence with mean flows and magnetic fields for both shear flow and convective situations; Utilizing machine learning applications for parameter estimation and prediction of turbulent evolution.
• Generating and pursuing independent and original research ideas in the appropriate subject area.
• Developing research objectives and proposals and contributing to setting the direction of the research project and team including preparing proposals for funding in collaboration with colleagues.
• Evaluating methods and techniques used and results obtained by other researchers and to relate such evaluations appropriately to your own work.
• Preparing papers for publication in leading international journals and disseminating research results through other recognized forms of output.
• Working both independently and also as part of a larger team of researchers, engaging in knowledge-transfer activities where appropriate and feasible.
• Maintaining your own continuing professional development and acting as a mentor to less experienced colleagues as appropriate.
• Contributing to the training of both undergraduate and postgraduate students, including assisting with the supervision of projects in areas relevant to the project.

Requirements 

Candidates must have the following qualifications in order to be eligible fo this Research Fellowship at the University of Leeds

• A Ph.D. (or close to completion) in Applied Mathematics, Physics, Engineering, or a closely allied discipline.
• A strong background in Fluid Dynamics; in particular in turbulence theory.
• A good understanding of the modeling of the turbulent transport mechanism.
• A strong background in the numerical solution of partial differential equations.
• Good time management and planning skills, with the ability to meet tight deadlines, manage competing demands, and work effectively under pressure without close support.
• A proven track record of peer-reviewed publications in high impact factor journals.
• Excellent written and verbal communication skills including presentation skills.
• A proven ability to work well both individually and in a team.
• A strong commitment to your own continuous professional development.

University of Leeds

The University of Leeds is a public research university in Leeds, England. Having the motto of ‘And knowledge will be increased’; the university establishment dates to 1874 as the Yorkshire College of Science. It lies in the top 20 in the world for graduate employability. Moreover, the university has affiliations with 6 Nobel Laureates. Furthermore, Leeds was in the 19th position amongst multi-faculty institutions in the UK for the quality (GPA) of its research. Above all, the university is in 93rd position in the QS World University Rankings 2019. Also, it is the fifth-largest university in the UK in terms of student numbers.