Research Fellow in Advanced Computational Engineering Physics

Cranfield, United Kingdom
£32,656 to £36,399 per annum
10 Jul 2019
End of advertisement period
11 Aug 2019
Contract Type
Fixed Term
Full Time

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 £32,656 to £36,399 per annum
Apply by 11/08/2019

Role Description

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 postdoctoral research fellowship, working on computational multi-physics modelling.

This project is funded by Innovate UK, and is being undertaken with partners from the aircraft landing gear sector. The project involves the development of advanced high-fidelity, multi-physics models for predicting Landing Gear Joint Seal Leakage (LGJSL). The project looks at Computer Aided Engineering (CAE) modelling using commercial and open-source tools for simulating fluid flow and structure (seal) deformation of joint seals in landing gears.

Leakage through joints within landing gears and several other mechanical systems is one of the major causes for repair and overhaul of an aircraft, which can lead to excessive maintenance costs. Landing gear is a complex system, where its reliability can be hindered most often than not due to a simple problem: leakage through seals. Understanding and accurately modelling the exact conditions of landing gear joint seals leakage will enable robust, resilient and reliable design. Furthermore, modelling time-variable conditions of LGJS can provide valuable insights on the life cycle and maintenance schedule of the system, leading to less disruptive operations.

The work will entail development of computational models in continuum mechanics including fluid mechanics, multi-component/phase flow, turbulence, computational tribology, computer aided design and analysis, finite element method, heat transfer, grid generation, CAE post-processing.

You must hold a PhD (or close to completion) in computational fluid dynamics, computational physics, computational structural dynamics (or equivalent) and your primary degree must be 2:1 or better at BEng (Hons) level (or equivalent Masters). You will also 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 a good amount of programming in low and high level abstraction, so good knowledge and application of c++, fortran, scripting in bash and python would be required. The successful candidate is 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 Joint Seal Leakage (LGJSL). Applicants will undertake independent and collaborative research and will be expected to write up your research for publication.

You will have a developing research profile with proven ability to publish high quality research output and will be able to contribute to the development of funding proposals. You will have a demonstrable ability to write 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 on +44 (0)1234 75 8225 or (E);

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.