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Research Associate in Computational Fluid Dynamics for Smart Nuclear Reactor Models

University of Sheffield

Sheffield, United Kingdom

The Faculty of Engineering at The University of Sheffield is one the leading engineering faculties in the UK, consisting of seven departments. Independent assessment shows that more than two-thirds of our research is internationally excellent or world-leading. Our vision is to compete to be the best engineering faculty in the UK and to be amongst the best in the world.

We are currently investing £152 million into our estate to help to achieve this goal. The Department of Mechanical Engineering at The University of Sheffield was rated in the top five in the UK in the latest Research Excellence Framework (2014) when accounting for research profile and volume.

Applications are invited from enthusiastic researchers/engineers to participate in an exciting program of Research and Development for Digital Nuclear Reactor Design funded by Department for Business, Energy and Industry Strategies. The
overall aim of the ambitious program is to develop solutions to accurately model reactor thermal hydraulics, and predict active and passive, single and two-phase flows and regimes. The purpose of this is to aid the design and development or
evaluation of future reactor designs, using different cooling fluid media. The program is a collaboration between Universities of Manchester and Sheffield, Science and Technology Facilities Council (STFC), Frazer-Nash, EDF Energy and Westinghouse.

You will work closely with a large team of academics, engineers and Research Associates from the consortium and will be responsible for the development of smart models for nuclear reactor components such as the fuel channels and the reactor containments using computational fluid dynamics (CFD). Such models will make use of the latest development in high performance computing (HPC), advanced mesh generation techniques and turbulence modelling to make a step change to the approaches currently adopted in the industry. You will attend regular project meetings reporting your progress and contributing to discussions in other project areas. You will travel regularly to STFC (Daresbury Laboratory) and Manchester.

The successful candidate will hold a PhD in computational fluid dynamics or have equivalent experience, have a good knowledge of Linux is essential. It is desirable for candidates to have a good background and experience in one or more of the following areas: mesh generation, turbulence modelling, programming, nuclear thermal hydraulics, and a good understanding of flow physics.

The post is available to start immediately and is fixed term for 22 months. This contract may be extended and is subject to funding.

Due to the tight time scale of the project, we will aim to arrange interviews within two weeks of the closing date.

You can view the supporting documentation by clicking on About the Job and About the University located near the top of your screen.

Main Duties and Responsibilities
• Develop smart models for nuclear reactor components such as the fuel channels and the reactor containments using computational fluid dynamics (CFD).
• Work closely with the investigation team, contributing to other aspects of the research program as appropriate.
• Attend quarterly project meetings and present own results.
• Produce progress reports regularly as required.
• Work closely and communicate well with all project partners about research progress and progress towards deliverables.
• Publish conference and journal papers on the work.
• Present the work at national and international meetings and conferences.
• Co-supervise junior researchers and PhD students as appropriate.
• Travel to Manchester and Daresbury Labs at regular intervals (normally fortnightly) to discuss progress and seek advice.
• Any other duties, commensurate with the grade of the post.


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