(Fixed Term)
Salary: £28,132-£36,661
Reference: KA02269
Closing date: 06 January 2014
Fixed-term: The funds for this post are available until 17 February 2018 in the first instance.
Applications are invited for a Post-doctoral Research Associate position on the development and implementation of advanced numerical algorithms and computational methodologies for the solution of problems related to the automotive industry. An integral part of the development is to ensure that these methodologies are highly amenable to efficient implementation in contemporary computer architectures and portability to different platforms.
The research associated with this post will contribute to the programme on simulation innovation led by Jaguar Land Rover (a leading provider of luxury, high performance and 4x4 vehicles) and EPSRC (the Engineering and Physical Sciences Research Council). The successful candidate will be expected to interact with Jaguar Land Rover engineers and scientists, as well as with academics from Cambridge and other Universities who participate in the same programme.
The successful candidate will work on the formulation and implementation of suitable systems of equations for multi-phase flow and fluid-structure interaction in the context of wading (low-speed crossing of a shallow ford), and vehicle behaviour in adverse weather conditions. Part of the work (in both priority areas) will be to assess the suitability of mesh generation and material interface capturing by means of Cartesian cut-cell methods, mesh adaptation based on hierarchical structured grids and numerical solvers based on high-resolution shock-capturing (mainly Riemann problem based) methods.
Essential attributes
The successful candidate will have a first degree in a science or engineering discipline and a PhD on a topic of computational fluid dynamics. Essential skills include significant track record of hands-on development of:
a) Mathematical formulations for unsteady multiphase flows.
b) Algorithms using Riemann problem-based methods.
c) C++ code development.
Desirable attributes
Working knowledge of Cartesian cut cell mesh generation techniques or/and of hierarchical adaptive mesh refinement is highly desirable. Proven competence in algorithm design for complex CFD problems with non-trivial boundaries would be an advantage. Experience with profiling and optimising large codes for serial and parallel performance on modern computer architectures is desirable. Candidates are expected to demonstrate good IT, problem solving and communication skills, ability to work within a team and ability to manage own workload.
To view further information please visit: http://www.jobs.cam.ac.uk/job/2656
Completed applications, including a curriculum vitae, the names and contact details of two referees and parts 1 and 3 of a CHRIS/6 cover sheet (see the Apply link below) should be addressed to: Ms Alison Murfin, Centre for Scientific Computing, The Cavendish Laboratory, JJ Thomson Avenue, Cambridge CB3 0HE, or by email to admin@csc.cam.ac.uk.
Please quote reference KA02269 on your application and in any correspondence about this vacancy.
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