Research Assistant in Computational Multi-Physics Modelling
School/Department School of Aerospace, Transport and Manufacturing
Based at Cranfield Campus, Cranfield, Bedfordshire
Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered.
Contract type Fixed term contract
Fixed Term Period Until 31 March 2021
Salary £24,739 per annum to £28,338 per annum
Apply by 27/11/2019
Cranfield is an exclusively postgraduate university that is a global leader for education and transformational research in technology and management.
Applications are invited for a position as Research Associate, working on computational multi-physics modelling.
The project relates to the development of a comprehensive multi-physics database and software tools for a Landing Gear Shock Absorber (LGSA).
The project involves the generation of a detailed database that entails the construction of a numerical framework for solving the underlying physics of LGSA. The numerical framework is constituted of software for the pre-processing, solving and post-processing and optimisation of the Multiphysics solutions. The numerical framework is verified and validated, where the uncertainty and modelling errors are quantified, and the sources of uncertainty clearly identified. The Multiphysics solution data are compared and assessed again with experimental and/or other data provided by the consortium partners.
The main motivation of this project is two-fold: understand the conditions and physics phenomena occurring at different operating conditions of a landing gear shock absorber and building numerical models to predict these phenomena. Underlying physics are assumed within the classical /continuum realm e.g. steady/ transient-laminar /transition/ turbulent- incompressible/ compressible- multicomponent- multiphase- flow, heat transfer, chemical reaction, cavitation, structural deformation. The numerical approximation of governing equations describing the physical processes and systems at different LGSA operating conditions and parameters with varying degrees of spatial and temporal accuracy. Construct numerical multi-physics database to enable a more accurate, reliable, robust and faster design prototyping of LGSA.
The construction of the numerical framework and database is based on multi-fidelity approach, enabling an adaptable software for various landing gear design phases, depending upon the accuracy and computational cost. Robust numerical techniques are implemented to minimise uncertainty by thoroughly and consistently analysing the error sources. The key business case is to reduce iterations between CAE, CAD and CAM operations. State-of-the-art physics models and numerical schemes provide the required credibility and confidence in the numerical framework so expensive measurement activities can be minimised. The numerical framework is designed with portability and expandability at heart, a flexible tool fit for future endeavours.
Applicants must hold a MSc in computational aided engineering, computational physics, fluid dynamics or relevant subject and have prior knowledge of commercial and/or open-source multi-physics solvers i.e. ansys workbench, fluent, starccm+, comsol, openFoam, su2 as well as mesh generation tools i.e. pointwise, icem-cfd, ansa and post processing matlab, paraview, tecplot, fieldview. The role will entail some programming in low- and high-level abstraction, so knowledge and application of c++ or fortran would be required. You will be expected to develop in these areas as required to meet the needs of the research project.
You will undertake research to assist the Principal Investigator and project partners in the successful execution of the Innovate UK -funded project on Landing Gear Shock Absorber. Your role in the research will require you to work both independently and in collaboration with others. You will also be expected to write up your research for publication.
You will be prepared to develop your research profile and assist with publishing high quality research output, and writing technical research papers and presentations. You are also required to be an excellent communicator with strong communication and interpersonal skills.
For an informal discussion, please contact Prof Martin Skote, Airbus Professor of Landing Systems Engineering, email@example.com
At Cranfield, we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential. We actively consider flexible working options such as part-time, compressed or flexible hours and/or an element of homeworking, and commit to exploring the possibilities for each role.