CRANFIELD UNIVERSITY

Research Assistant in Advanced Computational Engineering Physics

5 days left

Location
Cranfield, United Kingdom
Salary
£24,739 per annum to £28,338 per annum
Posted
Oct 29, 2019
End of advertisement period
Nov 27, 2019
Contract Type
Fixed Term
Hours
Full Time

Organisation: Cranfield University
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: 12 months
Salary: £24,739 per annum to £28,338 per annum
Posted Date: 24/10/2019
Apply by: 27/11/2019

Documents: 3200 - Candidate Brief.pdf

  • (PDF, 560.4kb)

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 position as Research Assistant, 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, computational tribology, computer aided design and analysis, finite element method, heat transfer, grid generation, CAE post-processing.

You 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 good 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 Joint Seal Leakage (LGJSL). 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, 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 on +44 (0)1234 75 8225 or (E); m.skote@cranfield.ac.uk

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.

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